Dr. David Berson: Your Brain's Logic & Function

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- Welcome to the Huberman Lab Podcast,

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where we discuss science and science-based tools

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for everyday life.

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[upbeat music]

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I'm Andrew Huberman and I'm a Professor of Neurobiology

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and Ophthalmology at Stanford School of Medicine.

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Today my guest is Dr. David Berson,

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Professor of Medical Science, Neurobiology and Ophthalmology

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at Brown University.

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Dr. Berson's laboratory is credited

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with discovering the cells in the eye

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that set your circadian rhythms.

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These are the so-called intrinsically

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photosensitive melanopsin cells.

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And while that's a mouthful,

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all you need to know for sake of this introduction is that,

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those are the cells that inform your brain and body

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about the time of day.

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Dr. Berson's laboratory has also made

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a number of other important discoveries

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about how we convert our perceptions of the outside world

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into motor action.

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More personally, Dr. Berson has been my go-to resource

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for all things neuroscience for nearly two decades.

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I knew of his reputation as a spectacular researcher

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for a long period of time.

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And then many years ago, I cold called him out of the blue,

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I basically corralled him into a long conversation

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over the phone after which he invited me out to Brown

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and we've been discussing neuroscience

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and how the brain works and the emerging new technologies

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and the emerging new concepts in neuroscience

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for a very long time now.

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You're going to realize today

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why Dr. Berson is my go-to source.

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He has an exceptionally clear and organized view

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of how the nervous system works.

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There are many many parts of the nervous system,

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different nuclei and connections and circuits and chemicals

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and so forth, but it takes a special kind of person

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to be able to organize that information into a structured

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and logical framework that can allow us to make sense

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of how we function in terms of what we feel,

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what we experience, how we move through the world.

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Dr. Berson is truly one of a kind in his ability

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to synthesize and organize and communicate that information.

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And I give him credit as one of my mentors,

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and one of the people that I respect most

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in the field of science and medical science generally.

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Today Dr. Berson takes us on a journey

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from the periphery of the nervous system,

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meaning from the outside,

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deep into the nervous system layer by layer,

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structure by structure, circuit by circuit

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making clear to us

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how each of these individual circuits work

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and how they work together as a whole.

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It's a really magnificent description

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that you simply cannot get from any textbook,

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from any popular book and frankly, as far as I know,

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from any podcast that currently exists out there.

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So it's a real gift to have this opportunity

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to learn from Dr. Berson.

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Again, I consider him my mentor in the field of learning

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and teaching neuroscience,

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and I'm excited for you to learn from him.

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One thing is for certain, by the end of this podcast,

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you will know far more about how your nervous system works

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than the vast majority of people out there

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including many expert biologists and neuroscientists.

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Before we begin, I'd like to emphasize that this podcast

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is separate from my teaching and research roles at Stanford.

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It is however part of my desire and effort

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to bring zero-cost to consumer information about science,

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and science-related tools to the general public.

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In keeping with that theme,

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And now for my discussion with Dr. David Berson, welcome.

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- Thank you. - Yeah.

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- So nice to be here.

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- Great to have you.

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For more than 20 years you've been my go-to source

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for all things, nervous system how it works,

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how it's structured.

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So today I want to ask you some questions about that.

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I think people would gain a lot of insight into this machine

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that makes them think and feel and see, et cetera.

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If you would, could you tell us how we see?

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A photon of light enters the eye, what happens?

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- Right.

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- How is it that I look outside, I see a truck drive by,

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or I look on the wall I see a photo of my dog,

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how does that work?

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- Right, so this is an old question obviously.

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And clearly in the end,

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the reason you have a visual experience

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is that your brain is got some pattern of activity

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that associates with the input from the periphery.

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But you can have a visual experience

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with no input from the periphery as well.

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When you're dreaming, you're seeing things

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that aren't coming through your eyes.

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- Are those memories?

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- I would say in a sense

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they may reflect your visual experience

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they're not necessarily specific visual memories,

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but of course they can be.

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But the point is, that the experience of seeing

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is actually a brain phenomenon.

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But of course, under normal circumstances,

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we see the world because we're looking at it

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and we're using our eyes to look at it.

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And fundamentally, when we're looking at the exterior world,

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it's what the retina is telling the brain that matters.

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So there are cells called ganglion cells,

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these are neurons that are the key cells for communicating

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between eye and brain, the eye is like the camera,

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it's detecting the initial image,

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doing some initial processing,

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and then that signal gets sent back to the brain proper

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and of course, it's there at the level of the cortex

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that we have this conscious visual experience.

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There are many other places in the brain

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that get visual input as well doing other things

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with that kind of information.

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- So I get a lot of questions about color vision.

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If you would, could you explain

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how is it that we can perceive reds and greens and blues

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and things of that sort.

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- Right, so the first thing to understand about light,

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is that it's just a form of electromagnetic radiation,

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it's vibrating, it's oscillating, but.

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- When you say it's vibrating, it's oscillating,

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you mean that photons are actually moving?

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- Well in a sense, photons they're certainly moving

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through space, we think about photons as particles

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and that's one way of thinking about light,

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but we can also think of it as a wave like a radio wave,

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either way is acceptable.

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And the radio waves have frequencies

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like the frequencies on the your radio dial,

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and certain frequencies in the electromagnetic spectrum

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can be detected by neurons in the retina,

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those are the things we see,

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but there's still different wavelengths within the light

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that can be seen by the eye.

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And those different wavelengths are unpacked in a sense

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or decoded by the nervous system

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to lead to our experience of color.

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Essentially, different wavelengths give us the sensation

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of different colors through the auspices

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of different neurons that are tuned

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to different wavelengths of light.

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- So when a photon, so when a little bit of light

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hits my eye goes in,

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the photoreceptors convert that into electrical signal?

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- Right.

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- How is it that a given photon of light

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gives me the perception eventually,

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leads the perception of red versus green versus blue?

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- Right, so if you imagine that in the first layer

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of the retina where this transformation occurs

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from electromagnetic radiation into neural signals

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that you have different kinds of sensitive cells

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that are expressing, they're making different molecules

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within themselves for this express purpose

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of absorbing photons which is the first step

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in the process of seeing, now it turns out that altogether,

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there are about five proteins like this

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that we need to think about in the typical retina,

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but for seeing color really it's three of them.

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So they're three different proteins,

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each absorbs light with a different preferred frequency,

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and then the nervous system keeps track of those signals

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compares and contrasts them to extract some understanding

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of the wavelength composition of light.

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So you can see just by looking at a landscape,

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or it must be late in the day

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because things are looking golden

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that's all a function of our absorbing the light

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that's coming from the world

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and interpreting that with our brain

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because of the different composition of the light

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that's reaching our eyes.

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- Is it fair to assume that my perception of red

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is the same as your perception of red?

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- Well, that's a great question.

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- And that mine is better?

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I'm just kidding, I'm just kidding.

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[laughs]

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- It's a great question, it's a deep philosophical question.

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It's a question that really probably can't even ultimately

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be answered by the usual empirical scientific processes,

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'cause it's really about an individual's experience.

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What we can say is that the biological mechanisms

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that we think are important for seeing color for example,

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seem to be very highly similar

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from one individual to the next whether it be human beings,

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or other animals.

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And so we think that the physiological process

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looks very similar on the front end,

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but once you're at the level of perception or understanding

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or experience, that's something that's a little bit tougher

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to nail down with the sorts of scientific approaches

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that we approach biological vision let's say.

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- You mentioned that there are five different cone types

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essentially, the cones being the cells that absorb light

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of different wavelengths.

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I often wondered when I had my dog,

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what he saw and how his vision differs from our vision.

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And certainly, there are animals that can see things

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that we can't see.

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- Right?

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- What are some of the more outrageous examples of that?

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- I've seen things.

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- And same things in the extreme.

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- Right.

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- Dogs I'm guessing see reds more as oranges, is that right?

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'Cause they don't have the same array of of neurons

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that we have for seeing color.

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- Right, so the first thing is,

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it's not really five types of colons,

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there are really three types of colons.

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And if you look at the way that color vision

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is thought to work, you can sort of see

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that it has to be three different signals.

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There are a couple of other types of pigments.

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One is really mostly for dim light vision.

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When you're walking around in a moonless night

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and you're seeing things with very low light

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that's the rod cell that uses its own pigment.

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And then there's another class of pigments

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we'll probably talk about a little bit later,

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this melanopsin pigment.

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- I thought you were referring to like ultraviolet

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and infrared and things like that.

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- Right, so in the case of a typical,

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well, let's put it this way.

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In human beings, most of us have three cone types

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and we can see colors that stem from that.

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In most mammals including your dog or your cat,

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there really are only two cone types

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and that limits the kind of vision that they can have

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in the domain of wavelength or color as you would say.

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So really, a dog sees the world kind of like a particular

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kind of color blind human might see the world,

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because instead of having three channels to compare

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and contrast they only have two channels

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and that makes it much more difficult to figure out exactly

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which wavelength you're looking at.

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- Do colorblind people suffer much as a consequence

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of being colorblind?

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- Well, it's like so many other disabilities.

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The world is built for people of the most common type.

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So in some cases, the expectation can be there

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that somebody can see something that they won't be able to

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if they're missing one of their cone types let's say.

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So in those moments, that can be a real problem.

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If there's a lack of contrast to their visual system,

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they will be blind to that.

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In general, it's a fairly modest visual limitation

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as things go.

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For example, if not being able to see acutely

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can be much more damaging,

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not being able to read fine print for example.

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- Yeah, I suppose if I had to give up

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the ability to see certain colors

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or give up the ability to see clearly,

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I could certainly trade out color for clarity.

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- Right, of course, color is very meaningful to us

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as human beings, so we would hate to give it up.

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But obviously, dogs and cats and all kinds of other mammals

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do perfectly well in the world.

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- Yeah, because we take care of them.

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I spent most of my time taking care of that dog.

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- He took care of me too.

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Let's talk about that odd photopigment.

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Photopigment of course being the thing that absorbs light

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of a particular wavelength,

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and let's talk about these specialized ganglion cells

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that communicate certain types of information

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from eye to the brain that are so important

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for so many things.

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What I'm referring to here of course is,

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your co-discovery of the so-called

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intrinsically photosensitive cells,

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the neurons in the eye that do so many of the things

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that don't actually have to do with perception,

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but have to do with important biological functions.

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What I would love for you to do

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is explain to me why once I heard you say

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we have a bit of fly eye in our eye.

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- Yeah. - And you showed this slide

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of a giant fly from a horror movie.

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- Yeah. - Trying to attack this woman.

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- Yeah.

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- And maybe it was an eye also.

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So what does it mean that we have a bit of a fly eye

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in our eye?

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- Yeah, so this last pigment is a really peculiar one.

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One can think about it

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as really the initial sensitive element in a system

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that's designed to tell your brain

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about how bright things are in your world.

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And the thing that's really peculiar about this pigment,

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is that it's in the wrong place in a sense.

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When you think about the structure of the retina,

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you think about a layer cake essentially.

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You've got this thin membrane at the back of your eye,

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but it's actually a stack of thin layers

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and the outermost of those layers

Time: 1109.47

is where these photoreceptors

Time: 1110.74

you were talking about earlier are sitting.

Time: 1112.5

That's where the film of your camera is essentially,

Time: 1115.44

that's where the photons do their magic

Time: 1117.02

with the photo pigments and turn it into a neural signal.

Time: 1119.16

- I like that I've never really thought

Time: 1119.993

of the photoreceptors is the film of the camera,

Time: 1122.04

but that makes sense.

Time: 1122.93

- Or like the sensitive chip on CCD chip in your cell phone.

Time: 1127.2

It's the surface on which the light pattern is imaged

Time: 1130.12

by the optics of the eye,

Time: 1132.25

and now you've got an array of sensors

Time: 1134.22

that's capturing that information

Time: 1136.34

and creating a bitmap essentially,

Time: 1139.09

but now it's in neural signals

Time: 1140.58

distributed across the surface of the retina.

Time: 1143.29

So all of that was known to be going on 150 years ago,

Time: 1148.35

a couple of types of photoreceptors cones and rods.

Time: 1150.74

If you look a little bit more closely,

Time: 1152.4

three types of cones, that's where the transformation

Time: 1155.6

from electromagnetic radiation to neural signals

Time: 1160.48

was thought to take place.

Time: 1162.52

But it turns out that this last photopigment

Time: 1164.7

is in the other end of the retina,

Time: 1167.04

the innermost part of the retina,

Time: 1168.5

that's where the so-called ganglion cells are.

Time: 1170.54

Those are the cells that talk to the brain,

Time: 1172.15

the ones that actually can communicate directly

Time: 1174.87

what information comes to them from the photoreceptors.

Time: 1178.24

And here you've got a case where actually,

Time: 1181.15

some of the output neurons

Time: 1182.772

that we didn't think had any business

Time: 1184.79

being directly sensitive to light

Time: 1187

were actually making this photopigment, absorbing light,

Time: 1191.9

and converting that to neural signals

Time: 1193.22

and sending it to the brain.

Time: 1194.571

So that made it pretty surprising and unexpected,

Time: 1198.64

but there are many surprising things about these cells.

Time: 1201.8

- So, and what is the relationship to the fly eye?

Time: 1205.24

- Right, so the link there is,

Time: 1207.37

that if you ask how the photopigment

Time: 1210.64

now communicates downstream

Time: 1213.36

from the initial absorption event

Time: 1215.96

to get to the electrical signal,

Time: 1217.56

that's a complex cellular process

Time: 1219.283

involves many chemical steps.

Time: 1222.26

And if you look at how photoreceptors in our eyes work,

Time: 1226.63

you can see what that cascade is, how that chain works.

Time: 1230.34

If you look in the eyes of flies or other insects

Time: 1234.222

or other invertebrates,

Time: 1236.67

there's a very similar kind of chain.

Time: 1238.72

But the specifics of how the signals

Time: 1241.24

get from the absorption event by the pigment

Time: 1243.6

to the electrical response

Time: 1244.86

that the nervous system can understand,

Time: 1247.03

are characteristically different

Time: 1248.91

between fuzzy furry creatures like us

Time: 1253.74

and insects for example like the fly.

Time: 1256.49

- I see.

Time: 1257.323

- So these funny extra photoreceptors

Time: 1259.98

that are in the wrong layer

Time: 1261.73

doing something completely different

Time: 1263.07

are actually using a chemical cascade

Time: 1266.76

that looks much more like what you would see

Time: 1268.31

in a fly photoreceptor,

Time: 1270.12

than what you would see in a human photoreceptor,

Time: 1272.9

a rod or a cone for example.

Time: 1274.62

So it sounds like it's a very primitive aspect of biology

Time: 1279.33

that we maintain.

Time: 1280.41

- Exactly right, exactly.

Time: 1282.13

- And despite the fact that dogs can't see as many colors

Time: 1284.33

as we can and cats can't see as many colors as we can,

Time: 1286.89

we have all this extravagant stuff for seeing color

Time: 1289.81

and then you got this other pigment

Time: 1291.61

sitting in the wrong not wrong,

Time: 1293.72

but in a different part of the eye

Time: 1297

sending processing light very differently.

Time: 1299.82

- Right.

Time: 1300.653

- And sending that information into the brain.

Time: 1302.49

So, what do these cells do?

Time: 1306.39

Presumably, they're there for a reason.

Time: 1307.84

- They are, and the interesting thing is that,

Time: 1311.91

one cell type like this carrying one kind of signal

Time: 1316.37

which I would call a brightness signal essentially,

Time: 1320.24

can do many things in the brain.

Time: 1322.15

- When you say brightness signal you mean that,

Time: 1324.54

like right now, I have these cells do I have these cells?

Time: 1326.807

Of course. - You do.

Time: 1327.64

- I'm joking, I hope I have these cells in my eye.

Time: 1329.8

And they're paying attention to how bright it is overall,

Time: 1332.8

but they're not paying attention

Time: 1333.7

for instance to the edge of area

Time: 1334.99

or what else is going on in the room.

Time: 1336.8

- Right, so it's the difference

Time: 1338.5

between knowing what the objects are on the table

Time: 1341.78

and knowing whether it's bright enough

Time: 1343.21

to be daylight right now.

Time: 1345.86

So why does your nervous system need to know

Time: 1349

whether it's daylight right now?

Time: 1350.75

Well, one thing that needs to know

Time: 1352.01

that is your circadian clock.

Time: 1354.03

If you travel across time zones to Europe,

Time: 1357.47

now your internal clock thinks it's California time,

Time: 1361.97

but the rotation of the earth

Time: 1364.3

is for different part of the planet.

Time: 1366.359

The rising and setting of the sun

Time: 1367.88

is not at all what your body is anticipating.

Time: 1370.29

So you've got an internal representation

Time: 1372.12

of the rotation of the earth in your own brain,

Time: 1374.64

that's your circadian system it's keeping time.

Time: 1378.68

But now you've played a trick on your nervous system,

Time: 1381.01

you put yourself in a different place

Time: 1382.11

where the sun is rising at the quote wrong time.

Time: 1385.68

Well, that's not good for you, right?

Time: 1387.63

So you got to get back on track.

Time: 1388.98

One of the things this system does,

Time: 1391.26

is sends a oh, it's daylight now signal to the brain,

Time: 1394.98

which compares with its internal clock.

Time: 1396.86

And if that's not right, it tweaks the clock gradually

Time: 1400.47

until you get over your jet lag

Time: 1401.86

and you feel back on track again.

Time: 1404.1

- So the jet lag case makes a lot of sense to me,

Time: 1406.97

but presumably, these elements didn't evolve for jet lag.

Time: 1411.41

- Right.

Time: 1412.243

- So, what are they doing on a day-to-day basis?

Time: 1415.87

- Right, well one way to think about this is that,

Time: 1418.71

the clock that you have in not just your brain,

Time: 1422.98

in all the cells, almost all of the cells of your body,

Time: 1425.67

they're all oscillating, they're all.

Time: 1429

- They got local little clocks in them.

Time: 1430.027

- They got local little clocks in themselves,

Time: 1431.29

they're all clocks.

Time: 1435.14

They need to be synchronized appropriately,

Time: 1439.9

and the whole thing has to be built in biological machinery.

Time: 1444.66

This is actually a beautiful story about how gene expression

Time: 1449.39

can control gene expression, and if you set it up right,

Time: 1452.06

you can set up a little thing that just sort of hums along

Time: 1455.47

at a particular frequency.

Time: 1456.575

In our case it's humming along at 24 hours,

Time: 1459.32

'cause that's how our earth rotates

Time: 1461.05

and it's all built into our biology.

Time: 1463.46

So this is great, but the reality is,

Time: 1465.633

that the clock can only be so good.

Time: 1468.04

I mean, we're talking about biology here.

Time: 1469.6

It's not precision engineering,

Time: 1472.37

and so it can be a little bit off.

Time: 1474.15

- Well, also it's in our brain,

Time: 1475.92

so it doesn't have access to any regular unerring signal?

Time: 1479.61

- Well, if in the absence of the rising

Time: 1482.06

and setting of the sun it doesn't,

Time: 1483

if you put someone in a cave,

Time: 1485.56

their biological clock will keep time

Time: 1487.83

to within a handful of minutes of 24 hours,

Time: 1491.87

that's no problem for one day.

Time: 1495.01

But if this went on without any correction,

Time: 1497.29

eventually you'd be out of phase

Time: 1499.22

and this is actually one of the things

Time: 1500.49

that blind patients often complain about.

Time: 1503.5

If they've got retinal blindness is insomnia.

Time: 1508.085

[indistinct]

Time: 1510.1

Exactly, they're not synchronized, their clock is there,

Time: 1513.13

but they're drifting out of phase

Time: 1514.73

because their clock's only good to 24.2 hours or 23.8 hours

Time: 1522.06

little by little if they're drifting.

Time: 1524.12

So you need a synchronization signal.

Time: 1526.03

So even if you never across time zones

Time: 1527.677

and of course we didn't back on the Savannah

Time: 1529.68

we stayed within walking distance of where we were,

Time: 1534.21

you still need a synchronizer, 'cause otherwise,

Time: 1536.31

you have nothing to actually confirm

Time: 1539.13

when the rising and the setting of the sun is,

Time: 1541.58

that's what you're trying to synchronize yourself to.

Time: 1544.36

- I'm fascinated by the circadian clock

Time: 1547.12

and the fact that all the cells of our body

Time: 1550.1

have essentially a 24-hour-ish clock in them.

Time: 1553.34

- Right.

Time: 1554.45

- We hear a lot about these circadian rhythms

Time: 1556.16

and circadian clocks the fact that we need light input

Time: 1559.18

from these special neurons in order to set the clock.

Time: 1562.3

But I've never really heard it described

Time: 1564.31

how the clock itself works

Time: 1566.49

and how the clock signals to all the rest of the body

Time: 1570.19

when the liver should be doing one thing

Time: 1572.737

and the stomach should be doing another.

Time: 1575.62

I know you've done some work on the clock.

Time: 1578.19

So if you would just maybe briefly describe

Time: 1581.61

where the clock is, what it does,

Time: 1584.53

and some of the top contour of how it tells the cells

Time: 1588.51

of the body what to do.

Time: 1589.8

- Right, so the first thing to say is that, as you said,

Time: 1592.89

the clock is all over the place.

Time: 1594.65

Most of the tissues in your body have clocks.

Time: 1597.97

- We probably have what, millions of clocks in our body.

Time: 1599.66

- Yeah, I would say that's probably fair.

Time: 1601.98

If you have millions of cell types,

Time: 1603.35

you might have millions of clocks.

Time: 1606.33

The role of the central pacemaker for the circadian system

Time: 1610.24

is to coordinate all of these.

Time: 1612.77

And there's a little nucleus,

Time: 1615.9

a little collection of nerve cells in your brain

Time: 1619.293

it's called the suprachiasmatic nucleus the SCN,

Time: 1623.6

and it is sitting in a funny place

Time: 1625.77

for the rest of the structures in the nervous system

Time: 1627.373

that get direct retinal input.

Time: 1629.61

It's sitting in the hypothalamus,

Time: 1631.99

which you can think about as sort of the great coordinator

Time: 1635.5

of drives and.

Time: 1638.48

- The source of all our pleasures and all our problems.

Time: 1640.7

- Right. - Or most our problems.

Time: 1642.13

- Yes, it really is.

Time: 1643.92

But it's sort of deep in your brain

Time: 1646.22

things that drive you to do things.

Time: 1648.03

If you're freezing cold, you put on a coat, you shiver,

Time: 1651.116

all these things are coordinated by hypothalamus.

Time: 1654.15

So this pathway that we're talking about from the retina

Time: 1657.56

and from these peculiar cells

Time: 1659.67

that are encoding light intensity,

Time: 1661.84

are sending signals directly into a center

Time: 1665.43

that's surrounded by all of these centers

Time: 1667.94

that control autonomic nervous system

Time: 1671.04

and your hormonal systems.

Time: 1675.03

So this is a part of your visual system

Time: 1677.23

that doesn't really reach the level of consciousness,

Time: 1679.45

it's not something you think about,

Time: 1681.87

it's happening under the radar kind of all the time

Time: 1685.06

and the signal is working its way

Time: 1687.48

into this central clock coordinating center.

Time: 1693.21

Now what happens then is not that well understood,

Time: 1697.35

but it's clear that this is a neural center

Time: 1699.98

that has the same ability to communicate

Time: 1701.73

with other parts of your brain as any other neural center.

Time: 1704.68

And clearly, there are circuits that involve connections

Time: 1710.29

between neurons that are conventional.

Time: 1714.07

But in addition, it's quite clear

Time: 1715.33

that there are also sort of humeral effects

Time: 1717.49

that things are being oozing out of the cells in the center

Time: 1721.929

and maybe into the circulation

Time: 1723.9

or just diffusing through the brain to some extent

Time: 1727.64

that can also affect neurons elsewhere.

Time: 1730.65

But the hypothalamus uses everything

Time: 1732.77

to control the rest of the body.

Time: 1734.24

And that's true, the supracosmetic nucleus

Time: 1736.63

this circadian center as well,

Time: 1740.1

it can get its fingers into the autonomic nervous system,

Time: 1743.078

the humeral system and of course, up to the centers

Time: 1746.67

of the brain that organize coordinated rational behavior.

Time: 1752.16

So if I understand correctly,

Time: 1754.3

we have this group of cells, the suprachiasmatic nucleus,

Time: 1756.63

it's got a 24-hour rhythm,

Time: 1759.93

that rhythm is more or less matched

Time: 1761.58

to what's going on in our external world

Time: 1763.84

by the specialized set of neurons in our eye.

Time: 1766.46

But then the master clock itself the SCN,

Time: 1770.49

releases things in the blood humeral signals

Time: 1774.71

that go out various places in the body.

Time: 1777.83

And you said to the autonomic system

Time: 1779.41

which is regulating more or less how alert or calm we are,

Time: 1782.15

as well as our thinking and our cognition.

Time: 1785.29

So I'd love to talk to you about the autonomic part,

Time: 1789.26

presumably that's through melatonin,

Time: 1792.25

it's through adrenaline how is it that this clock

Time: 1797.72

is impacting how the autonomic system,

Time: 1800.44

how alert or calm we feel?

Time: 1802.1

- Right, so there are pathways

Time: 1805.17

by which the suprachiasmatic nucleus can access

Time: 1809.33

both the parasympathetic and sympathetic nervous system.

Time: 1812.3

- Just so people know the sympathetic nervous system

Time: 1814.29

is the one that tends to make us more alert,

Time: 1816.22

and the parasympathetic nervous system

Time: 1818.14

is the portion of the autonomic nervous system

Time: 1820.92

makes us feel more calm.

Time: 1822.04

- Right. - In broadcasting.

Time: 1823.5

Right, to first approximation, right?

Time: 1825.82

So, this is both of these systems

Time: 1828.92

are within the grasp of the circadian system

Time: 1833.09

through hypothalamic circuits.

Time: 1835.06

One of the circuits that will be I think,

Time: 1837.59

of particular interest to some of your listeners

Time: 1840.07

is a pathway that involves this sympathetic branch

Time: 1843.836

of the autonomic nervous system

Time: 1845.42

the fight or flight system

Time: 1847.77

that is actually through a very circuitous route

Time: 1850.95

innervating the pineal gland

Time: 1852.83

which is sitting in the middle of your brain.

Time: 1855.026

- The so-called third eye.

Time: 1857.01

- Right, so this is.

Time: 1858.39

- We'll have to get back to why it's called the third eye,

Time: 1860.64

because, yeah.

Time: 1861.55

- That's an interesting thing.

Time: 1862.383

- You can't call something the third eye and just.

Time: 1865.28

- Just leave it there. - Just leave it there.

Time: 1866.82

- Right. - Right.

Time: 1868.49

- Anyway, this is the major source of melatonin

Time: 1870.79

in your body.

Time: 1871.623

- So light comes in to my eye.

Time: 1874.14

- Yes.

Time: 1875.25

- Passed off to the suprachiasmatic nucleus

Time: 1877.61

essentially, not the light itself,

Time: 1878.92

but the signal representing the light.

Time: 1881.27

- Sure.

Time: 1882.103

- Then the SCN, the suprachiasmatic nucleus

Time: 1884.34

can impact the melatonin system.

Time: 1887.21

- Right. - Via the pineal?

Time: 1888.49

- Right, the way this is seen is that,

Time: 1890.65

if you were to measure your melatonin level

Time: 1893.92

over the course of the day,

Time: 1895.32

if you could do this hour by hour,

Time: 1898.18

you'd see that it's really low during the day,

Time: 1900.52

very high at night.

Time: 1902.21

But if you get up in the middle of the night

Time: 1904.15

and go to the bathroom

Time: 1904.983

and turn on the bright full fluorescent light,

Time: 1907.13

your melatonin level is slammed to the floor.

Time: 1909.5

Light is directly impacting your hormonal levels

Time: 1914.36

through this mechanism that we just described.

Time: 1917.18

So this is one of the routes

Time: 1918.342

by which light can act on your hormonal status

Time: 1923.46

through pathways that are completely beyond

Time: 1926.43

what you normally would think about, right?

Time: 1928.46

You're thinking about the things in the bathroom.

Time: 1930.55

Oh, there's the toothbrush, there's the tube of toothpaste.

Time: 1933.83

But meanwhile, this other system is just counting photons

Time: 1937.68

and saying oh wow, there's a lot of photons right now

Time: 1940.1

let's shut down the melatonin release.

Time: 1942.46

- This is one of the main reasons why I've encouraged people

Time: 1945.28

to avoid bright light exposure in the middle of the night.

Time: 1948.32

Not just blue light, but bright light of any wavelength,

Time: 1952.12

because there's this myth out there that blue light

Time: 1954.81

because it's the optimal signal for activating this pathway

Time: 1957.71

and shutting down melatonin,

Time: 1959.52

is the only wavelength of light that can shut it down.

Time: 1963.42

But am I correct in thinking that

Time: 1965.38

if a light is bright enough.

Time: 1966.82

- Right.

Time: 1967.653

- It doesn't matter if it's blue light, green light,

Time: 1969.31

purple light, even red light.

Time: 1970.97

- Right.

Time: 1971.803

- You're going to slam melatonin down to the ground

Time: 1974.73

which is not a good thing to happen

Time: 1976.98

in the middle of the night.

Time: 1977.813

- Right. - Correct?

Time: 1978.646

Right, yeah, any light will affect the system

Time: 1982.29

to some extent, the blue light is somewhat more effective,

Time: 1986.44

but don't fool yourself into thinking

Time: 1989.01

that if you use red light

Time: 1989.93

that means you're avoiding the effect,

Time: 1992.178

it's certainly still there.

Time: 1994.46

And certainly, if it's very bright,

Time: 1995.66

it'll be more effective in driving the system

Time: 1998.45

than dim blue light would be.

Time: 2000.06

- Interesting, a lot of people wear blue blockers.

Time: 2002.227

- Right.

Time: 2003.61

- And in a kind of odd twist of misinformation out there,

Time: 2008.47

a lot of people wear blue blockers

Time: 2009.71

during the middle of the day,

Time: 2011.12

which basically makes no sense

Time: 2012.92

because during the middle of the day

Time: 2014.06

is when you want to get a lot of bright light

Time: 2016.9

and including blue light into your eyes, correct?

Time: 2019.42

- Absolutely, and not just for the reasons

Time: 2021.92

we've been talking about in terms of circadian effects,

Time: 2024.53

there are major effects of light on mood.

Time: 2028.2

And seasonal affective disorder apparently,

Time: 2031.87

is essentially a reflection of this same system in reverse.

Time: 2035.84

If you're living in the northern climes

Time: 2038.69

and you're not getting that much light

Time: 2040.61

during the middle of the winter in Stockholm,

Time: 2045.09

you might be prone to depression

Time: 2046.57

and phototherapy might be just the ticket for you

Time: 2049.42

and that's because there's a direct effect of light on mood,

Time: 2053.054

there's an example where if you don't have enough light

Time: 2056.127

it's a problem.

Time: 2057.65

So I think you're exactly right.

Time: 2058.71

It's not about is like good or bad for you,

Time: 2060.41

it's about what kind of light and when

Time: 2063.855

that makes the difference.

Time: 2065.129

Yeah, the general rule of thumb that I've been living by,

Time: 2067.27

is to get as much bright light in my eyes

Time: 2069.11

ideally from sunlight anytime I want to be alert.

Time: 2072.67

- Right.

Time: 2073.503

- And doing exactly the opposite when I want to be asleep.

Time: 2075.99

- Yeah. - We're getting drowsy.

Time: 2077.32

- And there are aspects of this that spin out

Time: 2080.88

way beyond the conversation we're having now

Time: 2082.66

to things like this.

Time: 2084.37

It turns out that the incidence of myopia.

Time: 2087.58

- Nearsightedness. - Nearsightedness, right.

Time: 2090.84

Is strongly related to the amount of time

Time: 2093.59

that kids spend outdoors.

Time: 2096.076

- In what direction of effect?

Time: 2097.77

- The more they spend time outdoors,

Time: 2099.83

the less nearsightedness they have.

Time: 2102.16

- So this is not because they're viewing things

Time: 2103.9

at a distance,

Time: 2104.733

or because they're getting a lot of blue light, sunlight?

Time: 2107.1

- It's a great question, it is not fully resolved

Time: 2110.18

what the epidemiological,

Time: 2111.62

what the basis of that epidemiological finding is,

Time: 2114.4

one possibility is the amount of light

Time: 2116.19

which would make me think

Time: 2117.13

about this melanopsin system again.

Time: 2119.97

But it might very well be a question of accommodation

Time: 2122.355

that is the process by which you focus on near or far things

Time: 2125.97

if you're never outdoors, everything is nearby.

Time: 2128.36

If you're outdoors, you're focusing far, so this is.

Time: 2130.358

- Or unless you are on your phone?

Time: 2131.57

- Right, exactly.

Time: 2132.9

- There's a tremendous amount of interest these days

Time: 2136.04

in watches and things that count steps.

Time: 2139.58

I'm beginning to realize

Time: 2140.84

that we should probably have a device that can count photons

Time: 2144.68

during the day.

Time: 2145.513

- Right.

Time: 2146.346

- And can also count photons at night

Time: 2147.63

and tell us hey, you're getting too many photons,

Time: 2149.43

you're going to shut down your melatonin at night,

Time: 2151.05

or you're not getting enough photons,

Time: 2152.36

today you didn't get enough bright light,

Time: 2153.9

whether or not it's from artificial light or from sunlight.

Time: 2156.376

I guess that, where would you put?

Time: 2158.409

I guess you put on the top of your head

Time: 2159.242

or you'd probably want it someplace outward facing?

Time: 2162.64

- Right, probably what you need is as many photons

Time: 2165.59

over as much of the retina as possible

Time: 2167.28

to recruit as much of the system as possible.

Time: 2171.36

- In thinking about other effects

Time: 2172.65

of this non-image forming pathway

Time: 2176.12

that involves these special cells in the eye and the SCN,

Time: 2179.8

you had a paper a few years ago

Time: 2181.58

looking at retinal input to an area of the brain

Time: 2187.92

which has a fancy name the peri-habenular,

Time: 2190.79

but names don't necessarily matter

Time: 2193.03

that had some important effects on mood

Time: 2196.41

and other aspects of light.

Time: 2199.49

Maybe you could tell us a little bit

Time: 2200.45

about what is the peri-habenular?

Time: 2202.82

- Oh, wow, so that's a fancy term,

Time: 2205.13

but I think the way to think about this,

Time: 2207.08

is a chunk of the brain

Time: 2209.69

that is sitting as part of a bigger chunk

Time: 2212.72

that's really the linker between peripheral sensory input

Time: 2217.16

of all kinds, virtually all kinds,

Time: 2221.11

whether it's auditory input or tactile input

Time: 2225.63

or visual input to the region of your brain the cortex

Time: 2229.24

that allows you to think about these things

Time: 2230.793

and make plans around them and to integrate them

Time: 2233.807

and that kind of thing.

Time: 2236.834

So, we've known about a pathway

Time: 2242.42

that gets from the retina through this sort of linker center

Time: 2247.72

which it's called the thalamus, and then.

Time: 2250.245

[indistinct]

Time: 2251.605

Exactly, but you want to arrive at the destination.

Time: 2254.25

Right now you're at grand central

Time: 2255.46

and now you can do your thing

Time: 2256.74

'cause you're up at the cortex.

Time: 2258.34

So this is the standard pattern.

Time: 2260.13

You have sensory input coming from the periphery,

Time: 2261.87

you've got these peripheral elements

Time: 2263.4

that are doing the initial stages of.

Time: 2265.97

- The eye, the ear, the nose.

Time: 2266.803

- Your skin of your fingertips, right?

Time: 2269.878

The taste buds on your tongue

Time: 2271.51

they're taking this raw information in

Time: 2274.594

and they're doing some pre-processing

Time: 2276.5

maybe or the early circuits are.

Time: 2278.9

But eventually, most of these signals

Time: 2280.41

have to pass through the gateway to the cortex

Time: 2282.68

which is the thalamus.

Time: 2284.68

And we've known for years, for decades, many decades,

Time: 2288.842

what the major throughput pathway from the retina

Time: 2291.77

to the cortex is and where it ends up.

Time: 2294.51

It ends up in the visual cortex.

Time: 2296.04

You pat the back of your head

Time: 2297.3

that's where the receiving center is

Time: 2300.82

for the main pathway from retina to cortex.

Time: 2303.84

But wait a minute, there's more.

Time: 2305.69

There's this little side pathway

Time: 2307.392

that goes through a different part

Time: 2308.55

of that linking thalamus center.

Time: 2311.662

[indistinct]

Time: 2312.78

- Like a local train.

Time: 2313.82

- Yeah. - From grand central to.

Time: 2315.103

- It's in a weird part of the neighborhood, right?

Time: 2317.6

It's a completely different, it's like a little trunk line

Time: 2320.52

that branches off and goes out into the hinterlands

Time: 2323.63

and it's going to the part of this linker center

Time: 2326.46

that's talking to a completely different part of cortex

Time: 2328.82

way up front, frontal lobe,

Time: 2331.31

which is much more involved in things like planning,

Time: 2334.11

or self-image or.

Time: 2337.369

- Self-image literally, how one.

Time: 2339.01

- Views oneself, do you feel good about yourself,

Time: 2342.92

or what's your plan for next Thursday.

Time: 2348.129

It's a very high level center

Time: 2351.04

in the highest level of your nervous system

Time: 2353.6

and this is the region that is getting input

Time: 2356.07

from this pathway which is mostly worked out in its function

Time: 2359.843

by [indistinct] Tara's Lab.

Time: 2361.34

I know you had him on the podcast.

Time: 2363.18

- We didn't talk about this path.

Time: 2364.23

- This pathway at all right.

Time: 2365.67

So Dale Fernandez and [indistinct]

Time: 2369.52

and the folks that work with them,

Time: 2372.11

were able to show that this pathway doesn't just exist

Time: 2375.02

and get you to a weird place.

Time: 2376.83

But if you activate it at kind of the wrong time of day,

Time: 2383.03

animals can become depressed.

Time: 2385.36

And if you silence it under the right circumstances,

Time: 2388.75

then weird lighting cycles that would normally make them act

Time: 2393.7

sort of depressed, no longer have that effect.

Time: 2397.56

- So it sounds to me like there's this pathway from eye

Time: 2400.7

to this unusual train route through the structure

Time: 2405.19

we call the thalamus,

Time: 2406.78

then up to the front of the brain

Time: 2408.16

that relates to things of self-perception,

Time: 2411.65

kind of higher level functions.

Time: 2413.4

I find that really interesting,

Time: 2414.49

because most of what I think about

Time: 2415.363

when I think about these fancy,

Time: 2417.76

well, or these primitive rather,

Time: 2420.32

neurons that don't pay attention to the shapes of things,

Time: 2422.89

but instead to brightness I think of well,

Time: 2425.04

it regulates melatonin and circadian clock,

Time: 2427.53

mood, hunger, the really kind of vegetative stuff

Time: 2431.73

if you will. - Right.

Time: 2432.563

- And this is interesting because I think a lot of people

Time: 2436.83

experience depression

Time: 2437.91

not just people that live in Scandinavia

Time: 2440.68

in the middle of winter, and we are very much divorced

Time: 2445.13

from our normal interactions with light.

Time: 2448.87

It also makes me realize

Time: 2449.82

that these intrinsically photosensitive cells

Time: 2451.956

that set the clock et cetera,

Time: 2453.82

are involved in a lot of things.

Time: 2457.17

They seem to regulate a dozen

Time: 2459.8

or more different basic functions.

Time: 2462.97

I want to ask you about a different aspect

Time: 2465.24

of the visual system now,

Time: 2466.92

which is the one that relates to our sense of balance.

Time: 2470.92

So I love boats but I hate being on them.

Time: 2473.64

I love the ocean from shore,

Time: 2475.42

because I get incredibly seasick, it's awful.

Time: 2479.57

I think I'm going to get seasick if I think about it too much.

Time: 2481.632

[laughs]

Time: 2482.465

And once I went on a boat trip,

Time: 2483.33

I came back and I actually got motion sick or wasn't seasick

Time: 2488.46

'cause I was rafting.

Time: 2490.29

So there's a system that somehow gets messed up.

Time: 2493.56

They always tell us if you're feeling sick

Time: 2494.76

to look at the horizon et cetera, et cetera.

Time: 2497.16

- Right. - So what is the link

Time: 2498.23

between our visual system and our balance system

Time: 2500.74

and why does it make us nauseous sometimes

Time: 2503.37

when the world is moving in a way

Time: 2505.7

that we're not accustomed to?

Time: 2507.13

- Right.

Time: 2507.963

- I realize this is a big question,

Time: 2508.9

because it involves eye movement, et cetera.

Time: 2511.49

- Right. - But let's maybe just walk in

Time: 2513.6

at the simplest layers of vision, vestibular,

Time: 2519.82

so-called balance system

Time: 2521.35

and then maybe we can piece the system together for people

Time: 2524.32

so that they can understand,

Time: 2525.18

and then also we should give them some tools

Time: 2526.88

for adjusting their nausea

Time: 2528.64

when their vestibular system is out of whack.

Time: 2532

- Cool, so the first thing to think about

Time: 2533.543

is that the vestibular system is designed to allow you

Time: 2541.84

to see how your or detect sense

Time: 2545.72

how you're moving in the world, through the world.

Time: 2551.03

It's a funny one because it's about your movement

Time: 2554.36

in relationship to the world in a sense,

Time: 2556.3

and yet it's sort of interoceptive

Time: 2558.84

in the sense that it is really

Time: 2562.08

in the end sensing the movement of your own body.

Time: 2566.17

- Okay, so interoception

Time: 2567.16

we should probably delineate for people

Time: 2568.5

is when you're focusing on your internal state

Time: 2570.7

as opposed to something outside you.

Time: 2572.14

- Right.

Time: 2573.53

- It's a gravity sensing system.

Time: 2575.32

- Well, it's partly a gravity sensing system

Time: 2577.54

in the sense that gravity is a force that's acting on you

Time: 2582.76

as if you were moving through the world

Time: 2585.38

in the opposite direction.

Time: 2586.52

- All right, now you got to explain that.

Time: 2588.342

You got to explain that to me.

Time: 2590.43

- Okay, so basically the idea is that,

Time: 2594.57

if we leave gravity inside, we're just sitting in a car,

Time: 2600.42

in the passenger seat and the driver hits the accelerator

Time: 2604.48

and you start moving forward, you sense that.

Time: 2606.73

If your eyes were closed, you'd sense it.

Time: 2608.4

If your ears were plugged in, your eyes would close,

Time: 2610.56

you'd still know it.

Time: 2611.73

- Yeah, many people take off on the plane like this

Time: 2613.88

they're dreading the flight

Time: 2615.09

and they know when the plane is taking off.

Time: 2616.92

- Sure, that's your vestibular system talking,

Time: 2618.91

because anything that jostles you out

Time: 2621.2

of the current position you're in right now

Time: 2623.07

will be detected by the vestibular system pretty much.

Time: 2627.79

So this is a complicated system,

Time: 2629.61

but it's basically in your inner ear

Time: 2632.86

very close to where you're hearing.

Time: 2634.044

- That they put it there.

Time: 2636.894

And I don't know.

Time: 2638.018

- And I don't really know, they're sort of derived.

Time: 2639.242

[indistinct]

Time: 2640.075

- Now I'm just kidding.

Time: 2641.43

To steal our friend Russ Van Gelder's explanation,

Time: 2643.97

we weren't consulted the design phase and no one.

Time: 2646.421

- That's a great [indistinct].

Time: 2650.02

- But it's interesting it's in the ear.

Time: 2651.74

- Yeah. - Right?

Time: 2653.28

- Yeah, it's deep in there

Time: 2654.65

and it's served by the same nerve actually

Time: 2658.52

that serves the hearing system.

Time: 2660.63

One way to think about it is both the hearing system

Time: 2663.43

and this vestibular self-motion sensing system

Time: 2666.87

are really detecting the signal

Time: 2668.287

in the same way they're hairy cells and they're exciting.

Time: 2672.255

[indistinct]

Time: 2673.465

- Yeah, sort of they got little cilia sticking up

Time: 2675.29

off the surfaces.

Time: 2676.83

And depending on which way you bend those,

Time: 2678.73

the cells will either be inhibited or excited,

Time: 2681.11

they're not even neurons but then they talk to neurons

Time: 2684.07

with a neuron-like process and off you go.

Time: 2686.13

Now you've got an auditory signal

Time: 2687.56

if you're sensing things bouncing around in your cochlea

Time: 2691.5

which is. - Sound waves.

Time: 2693.11

- Sympathetically the bouncing of your eardrum

Time: 2695.78

which is symmetrically the sound waves in the world.

Time: 2698.597

But in the case of the vestibular apparatus,

Time: 2701.28

evolution has built a system

Time: 2702.71

that detects the motion of say fluid going by those hairs.

Time: 2707.87

And if you put a sensor like that in a tube

Time: 2711.3

that's fluid filled,

Time: 2713.06

now you've got a sensor that will be activated

Time: 2714.604

when you rotate that tube around the axis

Time: 2718.81

that passes through the middle of it,

Time: 2720.02

those we're just listening won't be able.

Time: 2722.391

[indistinct]

Time: 2723.55

- I was thinking of it as three hula hoops.

Time: 2725.45

- Right, three hoops.

Time: 2726.283

- One standing up, one lying down on the ground.

Time: 2728.28

- Right.

Time: 2729.113

- The other one the other way.

Time: 2730.353

- Three directions, the people who fly

Time: 2733.47

will talk about roll pitch and you all that kind of thing.

Time: 2735.82

So three axes of encoding just like in the.

Time: 2739.852

[indistinct]

Time: 2740.685

- Sort of the yes, the no

Time: 2742.23

and then I always say it's the puppy head tilt.

Time: 2744.42

- Yeah, that puppy tilt.

Time: 2745.285

- That's the other one.

Time: 2746.73

So the point is that,

Time: 2747.924

your brain is eventually going to be able to unpack

Time: 2752.29

what these sensors are telling you

Time: 2754.66

about how you just rotated your head

Time: 2757.14

in very much the way that the three types of cones

Time: 2759.5

we were talking about before

Time: 2761.53

are reading the incoming photons

Time: 2764.92

in the wavelength domain differently, and if.

Time: 2767.025

- Red, green, blue.

Time: 2768.065

- Yeah, you can compare and trust you get red, green, blue.

Time: 2769.98

So same basic idea if you have three sensors

Time: 2773.13

and you array them properly,

Time: 2774.64

now you can tell if you're rotating your head left or right,

Time: 2777.22

up or down that's the sensory signal

Time: 2780.68

coming back into your brain

Time: 2783.34

confirming that you've just made a movement that you will.

Time: 2786.6

- But what about on the plane?

Time: 2787.73

Because when I'm on the plane,

Time: 2788.7

I'm completely stationary the plane's moving.

Time: 2790.81

- Right.

Time: 2791.643

- But my head hasn't moved. - Right.

Time: 2792.476

- So I'm just moving forward, gravity is constant.

Time: 2795.61

- Exactly.

Time: 2796.443

- How do I know I'm accelerating?

Time: 2797.92

- So what's happening now

Time: 2798.99

is your brain is sensing the motion,

Time: 2802.45

and the brain is smart enough also to ask itself,

Time: 2805.97

did I will that movement or did that come from the outside?

Time: 2810.58

So now in terms of sort of understanding

Time: 2812.56

what the the vestibular signal means,

Time: 2814.72

it's got to be embedded in the context

Time: 2816.34

of what you tried to do,

Time: 2817.92

or what your other sensory systems are telling you

Time: 2821.76

about what's happening.

Time: 2822.77

- I see, so it's very interesting.

Time: 2824.939

But it's not conscious or at least if it's conscious,

Time: 2827.7

it's very not conscious, it's definitely very fast, right?

Time: 2831.58

The moment that plane starts moving,

Time: 2832.86

I know that I didn't get up out of my chair and run forward.

Time: 2835.32

- Right.

Time: 2836.153

- But I'm not really thinking about

Time: 2836.986

getting up out of my chair I just know.

Time: 2838.862

- I guess the way i think about it is that,

Time: 2841.56

the nervous system is quote, aware at many levels

Time: 2847.48

when it gets all the way up to the cortex

Time: 2849.01

and we're thinking about it,

Time: 2850.46

you're talking about it, that's cortical.

Time: 2854.19

But the lower levels of the brain

Time: 2857.42

that don't require you to actually actively think about it

Time: 2860.45

they're just doing their thing are also made aware, right?

Time: 2864.049

A lot of this is happening under the surface

Time: 2865.93

of what you're thinking, these are reflexes.

Time: 2868.8

- Okay, so we've got this gravity sensing system?

Time: 2872.47

- Right.

Time: 2875.879

- I'm nodding for those that are listening

Time: 2877.14

for a yes movement of the head,

Time: 2879.22

a no movement of the head or the tilting of the head

Time: 2881.57

from side to side. - Right.

Time: 2882.76

- And then you said that knowledge about whether or not

Time: 2886.2

activation of that system comes from my own movements,

Time: 2889.01

or something acting upon me like the plane moving.

Time: 2892.16

- Right.

Time: 2892.993

- Has to be combined with other signals.

Time: 2895.68

And so, how is the visual information

Time: 2899.62

or information about the visual world

Time: 2901.09

combined with balance information?

Time: 2902.91

- Right, so yeah.

Time: 2905.183

I guess maybe the best way to think about

Time: 2907.35

how these two systems work together,

Time: 2910

is to think about what happens when you suddenly

Time: 2912.45

rotate your head to the left.

Time: 2915.19

When you suddenly rotate your head to the left,

Time: 2916.65

your eyes are actually rotating to the right.

Time: 2919.82

Automatically, you do this in complete darkness.

Time: 2923.28

If you had an infrared camera and watched yourself

Time: 2928.12

in complete darkness, you can't see anything.

Time: 2929.82

Rotating your head to the left,

Time: 2930.82

your eyes would rotate to the right.

Time: 2932.5

That's your vestibular system saying,

Time: 2936.021

I'm going to try to compensate for the head rotation.

Time: 2941.01

So my eyes are still looking in the same place.

Time: 2944.18

Why is that useful, well, if it's always doing that,

Time: 2948.45

then the image of the world on your retina

Time: 2950.28

will be pretty stable most of the time

Time: 2952.85

and that actually helps vision.

Time: 2954.84

- Have they built this into cameras for image stabilization

Time: 2958.34

'cause when I move, when I take a picture with my phone,

Time: 2960.42

it's blurry, it's not clear?

Time: 2962.49

- Well actually, you might want to get a better phone,

Time: 2965.65

because now what they have is software in the better apps

Time: 2969.66

that will do a kind of image stabilization post-hoc

Time: 2972.65

by doing a registration of the images

Time: 2974.047

that are bouncing around,

Time: 2975.78

they say the edge of the house was here,

Time: 2978.24

so let's get that aligned in each of your images.

Time: 2980.59

So you may not be aware if you're using a good new phone

Time: 2984.77

that if you walk around a landscape and hold your phone,

Time: 2990.16

that there's all this image stabilization going on.

Time: 2992.99

But it's built into standard cinematic technology now,

Time: 2997.936

because if we tried to do a handheld camera,

Time: 3000.21

things would be bouncing around,

Time: 3001.58

things would be unwatchable,

Time: 3002.79

you wouldn't be able to really understand

Time: 3004.14

what's going on in the scene.

Time: 3005.56

So the brain works really hard

Time: 3008.72

to mostly stabilize the image of the world on your retina

Time: 3011.887

and of course you're moving through the world

Time: 3013.5

so you can't stabilize everything.

Time: 3014.87

But the more you can stabilize most of the time,

Time: 3017.74

the better you can see.

Time: 3019.06

And that's why when we're scanning a scene

Time: 3022.84

looking around at things,

Time: 3024.62

we're making very rapid eye movements

Time: 3026.84

for very short periods of time and then we just rest,

Time: 3030.44

but we're not the only ones that do that.

Time: 3031.93

If you ever watch a hummingbird,

Time: 3033.12

it does exactly the same thing at a feeder, right?

Time: 3035.358

[indistinct]

Time: 3036.191

It is with its body.

Time: 3037.04

It's going to make a quick movement,

Time: 3039.89

and then it's going to be stable.

Time: 3041.45

And when you watch a pigeon walking on the sidewalk,

Time: 3044.53

it does this funny head bobbing thing.

Time: 3046.157

But what it's really doing,

Time: 3047.22

is racking its head back on its neck

Time: 3048.681

while its body goes forward

Time: 3051.28

so that the image of the visual world stays static.

Time: 3054.39

- Is that why they're doing it?

Time: 3055.658

- Yes, and you've seen the funny chicken videos

Time: 3058.78

on YouTube, right?

Time: 3059.613

- You take a chicken move it up and down

Time: 3061.14

the head stays in one place, it's all the same thing.

Time: 3063.71

All of these animals are trying hard

Time: 3066.21

to keep the image of the world stable on their retina

Time: 3068.82

as much of the time as they possibly can.

Time: 3070.88

And then when they've got to move, make it fast,

Time: 3073.32

make it quick and then stabilize again.

Time: 3075.38

- That's why the pigeons have their head back?

Time: 3076.92

- It is, yeah.

Time: 3078.06

- Wow. - Yeah.

Time: 3079.54

- I just need to pause there for a second

Time: 3081.718

and digest that, amazing.

Time: 3085.271

In case people aren't.

Time: 3087.86

Well, there's no reason why people would know

Time: 3090.12

what we're doing here, but essentially,

Time: 3091.36

what we're doing is we're building up from sensory

Time: 3094.74

light onto the eye, make color to what the brain does

Time: 3098.48

with the integration of that circadian clock,

Time: 3101.34

melatonin, et cetera.

Time: 3102.173

And now what we're doing

Time: 3103.006

is we're talking about multi-sensory or multimodal

Time: 3105.83

combining one sense vision with another sense balance.

Time: 3109.897

- Right.

Time: 3110.73

- And it turns out that pigeons

Time: 3112.8

know more about this than I do,

Time: 3114.07

because pigeons know to keep their head back

Time: 3116.29

as they walk forward. - Right.

Time: 3117.99

- All right, so that gets us to this issue

Time: 3120.7

of motion sickness. - Right.

Time: 3122.56

- And you don't have to go out on a boat.

Time: 3125.71

Anytime I go to New York, I sit in an Uber

Time: 3128.12

or in a cab in the back.

Time: 3129.45

And if I'm looking at my phone while the car is driving,

Time: 3133.26

I feel nauseous by time I arrive at my destination.

Time: 3136.29

- Right.

Time: 3137.123

- I always try and look out the front of the windshield,

Time: 3139.5

because I'm told that helps but it's a little tiny window.

Time: 3142.3

- Right.

Time: 3143.133

- And I end up feeling slightly less sick if I do that.

Time: 3147

So what's going on with the vision and the balance system

Time: 3152.29

that causes a kind of a nausea?

Time: 3154.33

And actually, if I keep talking about this.

Time: 3155.68

[indistinct]

Time: 3156.513

[laughs]

Time: 3157.346

I don't throw up easily, but for some reason motion sickness

Time: 3161.54

is a real thing for me.

Time: 3162.61

- It's a problem for a lot of people.

Time: 3164.623

I think the fundamental problem typically,

Time: 3167.13

when you get motion sick

Time: 3168.32

is what they call visual vestibular conflict.

Time: 3172.75

That is, you have two sensory systems

Time: 3175.35

that are talking to your brain

Time: 3176.49

about how you're moving through the world.

Time: 3178.5

And as long as they agree you're fine.

Time: 3182.43

So if you're driving,

Time: 3184.12

your body senses that you're moving forward.

Time: 3187.16

Your vestibular system is picking up

Time: 3189.92

this acceleration of the car,

Time: 3192.168

and your visual system is seeing the consequences

Time: 3194.606

of forward motion in the sweeping of the scene past you.

Time: 3199.4

Everything is honky-dory, right, no problem.

Time: 3201.819

But when you are headed forward

Time: 3205.62

but you're looking at your cell phone,

Time: 3206.9

what is your retina seeing?

Time: 3208.106

Your retina is seeing the stable image of the screen.

Time: 3210.33

There's absolutely no motion in that.

Time: 3213.57

- Or the motion is just or some other emotion like a movie.

Time: 3216.315

- If you're playing a game or you're watching a video,

Time: 3219.25

a football game, the motion is uncoupled

Time: 3221.7

with what's actually happening to your body.

Time: 3224.34

Your brain doesn't like that,

Time: 3225.61

your brain likes everything to be aligned.

Time: 3228.32

And if it's not, it's going to complain to you.

Time: 3230.301

- By making me feel nauseous.

Time: 3231.703

- By making you feel nauseous

Time: 3232.536

and maybe you'll change your behavior.

Time: 3233.91

So you're getting. - I'm getting punished.

Time: 3235.85

- Yeah, for setting it up.

Time: 3237.991

[indistinct]

Time: 3239.35

- Right. - By the vestibular?

Time: 3241.16

- You'll learn. - Visuals.

Time: 3242.252

[laughs]

Time: 3244.18

In time, I love it.

Time: 3246.47

I love the idea of reward signals

Time: 3248.6

and we've done a lot of discussion about this

Time: 3250.74

on this podcast of things like dopamine reward and things,

Time: 3253.17

but also punishment signals and I love this example.

Time: 3258.04

Well, maybe marching a little bit further

Time: 3260.053

along this pathway,

Time: 3262.91

visual input is combined with balance input.

Time: 3266.92

Where does that occur,

Time: 3268.37

and maybe 'cause I have some hint of where it occurs.

Time: 3272.19

You could tell us a little bit

Time: 3273.24

about this kind of mysterious little mini-brain

Time: 3277.58

that they call the cerebellum. - Cerebellum, yeah.

Time: 3280.14

So the way I tried to describe the cerebellum to my students

Time: 3286.56

is that, it serves sort of like

Time: 3289.14

the air traffic control system functions in air travel.

Time: 3294.55

So that it's a system that's very complicated

Time: 3297.241

and it's really dependent on great information.

Time: 3301.1

So it's taking in information

Time: 3302.32

about everything that's happening everywhere

Time: 3304.67

not only through your sensory systems,

Time: 3307.69

but it's listening into all the little centers

Time: 3310.15

elsewhere in your brain

Time: 3311.14

that are computing what you're going to be doing next

Time: 3312.8

and so forth.

Time: 3313.633

So it's just ravenous for that kind of information.

Time: 3315.76

- So it really is like a little mini-brain.

Time: 3317.73

- It is, it's got access to all those signals.

Time: 3323.61

and it really has an important role in coordinating

Time: 3327.56

and shaping movements, but if you suddenly eliminated

Time: 3333.347

the air traffic control system,

Time: 3336.5

planes could still take off and land

Time: 3338.98

but you might have some unhappy accidents in the process.

Time: 3344.15

So the cerebellum is kind of like that.

Time: 3345.89

It's not that you would be paralyzed

Time: 3348.2

if your cerebellum was gone

Time: 3349.94

because you still have motor neurons,

Time: 3351.38

you still have ways to talk to your muscles,

Time: 3354.16

you still have reflex centers,

Time: 3356.47

and it's not like you would have any sensory laws

Time: 3359.84

because you still have your cortex

Time: 3361.5

getting all of those beautiful signals

Time: 3363.05

that you can think about,

Time: 3365.01

but you wouldn't be coordinating things so well anymore.

Time: 3369.42

The timing between input and output might be off.

Time: 3372.91

Or if you were trying to practice a new athletic move

Time: 3376.7

like an overhead serve in tennis,

Time: 3379.29

you'd be just terrible at learning.

Time: 3383.09

All the sequences of muscle movements

Time: 3385.27

and the feedback from your sensory apparatus

Time: 3387.37

that would let you really hit that ball exactly

Time: 3389.85

where you wanted to after the nth rep, right?

Time: 3392.522

Now 1000th rep or something you get much better at it.

Time: 3396.11

So the cerebellum is all involved

Time: 3397.46

in things like motor learning and refining the precisions

Time: 3403.079

of movement so that they get you where you want to go

Time: 3407.21

if you reach for a glass of champagne

Time: 3409.95

that you don't knock it over or stop short.

Time: 3413.542

[indistinct]

Time: 3414.58

- People who have selective damage to the cerebellum.

Time: 3417.31

- Absolutely. - And I'm familiar with.

Time: 3422.02

Well, Korsakoff's is different, right?

Time: 3424.45

Isn't that a B vitamin deficiency in chronic alcoholics?

Time: 3427.57

- Right. - And they tend to walk

Time: 3429.23

kind of bow-legged and they can't coordinate their movements.

Time: 3432.122

That has some that not memory bodies but also a cerebellum?

Time: 3436.46

- I'm not sure about the cerebellar involvement there.

Time: 3439.06

But the typical thing would be a patient

Time: 3443.88

who has a cerebral or stroke or a tumor for example,

Time: 3448.69

might be not that steady on their feet

Time: 3453.09

if the dynamics of the situation you're standing

Time: 3457.621

on a street car with no handle pull to hold on to,

Time: 3460.84

they might not be as good at adjusting

Time: 3462.99

all the little movements of the car.

Time: 3467.059

There's a kind of tremor that can occur

Time: 3469.34

as they're reaching for things,

Time: 3472.04

because they reach a little too far

Time: 3473.57

and then they over correct and come back, things like that.

Time: 3477.51

So it's very common neurological phenomenon actually.

Time: 3483.609

Cerebellar ataxia is what the neurologists call it,

Time: 3487.25

and it can happen not just with cerebellar damage,

Time: 3489.16

but damage to the tracts that feed the information

Time: 3491.44

into the cerebellum.

Time: 3492.273

- Right, it is the private structure.

Time: 3493.106

- Exactly, or output from the cerebellum.

Time: 3495.03

- And so, the cerebellum is where a lot of visual

Time: 3497.87

and balance information is combined.

Time: 3499.9

- In a very key place in the cerebellum,

Time: 3501.96

which it's really one of the oldest parts.

Time: 3506.31

- In terms of flocculus. - The flocculus, right.

Time: 3509.592

It's a critical place in the cerebellum where visual

Time: 3513.17

and vestibular information comes together

Time: 3515.35

recording just the kinds of movements we were talking about.

Time: 3518.27

This image stabilizing network it's all happening there.

Time: 3521.87

And there's learning happening there as well.

Time: 3523.61

So that if your vestibular apparatus

Time: 3525.91

is a little bit damaged somehow,

Time: 3528.84

your visual system is actually talking to your cerebellum

Time: 3532.81

saying there's a problem here, there's an error,

Time: 3535.87

and your cerebellum is learning to do better

Time: 3538.82

by increasing the output of the vestibular system

Time: 3541.26

to compensate for whatever that loss was.

Time: 3543.68

So it's a little error correction system

Time: 3545.33

that's sort of typical of a cerebellar function

Time: 3548.4

and it can happen in many, many different domains.

Time: 3550.17

This is just one of the domains of sensory motor integration

Time: 3553.48

that takes place there.

Time: 3556.32

- So I should stay off my phone in the Ubers.

Time: 3558.7

if I'm on a boat, I should essentially look

Time: 3562.3

and as much as possible act as if I'm driving the machine.

Time: 3565.421

- Right. - That'd be weird

Time: 3567.1

if I was in the passenger seat

Time: 3568.17

pretending I was driving the machine.

Time: 3569.48

But i do always feel better

Time: 3570.65

if I'm sitting in the front seat passenger.

Time: 3572.69

- Right, so more of the visual world that you can see

Time: 3575.78

as if you were actually the one doing the motion

Time: 3577.903

I would think.

Time: 3579.43

- Let's stay in the inner ear for a minute

Time: 3581.03

as we continue to march around the nervous system.

Time: 3586.38

When you take off in the plane or when you land

Time: 3588.51

or sometimes in the middle of there,

Time: 3590.08

your ears get clogged or at least my ears get clogged,

Time: 3594.52

that's because of pressure buildup in the various tubes

Time: 3597.6

of the inner ear, et cetera, we'll get into this.

Time: 3600.37

But years ago, our good friend Harvey Karten,

Time: 3605.13

is a another world-class neuroanatomist

Time: 3609.93

gave a lecture and talked about how plugging your nose

Time: 3613.7

and blowing out versus plugging your nose and sucking in

Time: 3618.75

should be done at different times

Time: 3620.14

depending on whether or not you're taking off or landing.

Time: 3623.65

And I always see people trying to unpop their ears.

Time: 3626.36

- Right. - And when you do scuba diving

Time: 3628.38

you learn how to do this without necessarily I can do it

Time: 3631.41

by just kind of moving my jaw now

Time: 3632.91

'cause I've done a little bit of diving.

Time: 3635.52

But what's the story there?

Time: 3637.75

We don't have to get into all the differences

Time: 3639.86

in atmospheric pressure, et cetera,

Time: 3641.18

but if I'm taking off and my ears are plugged,

Time: 3644.056

I've recently ascended, plane take off, my ears are plugged,

Time: 3647.34

do I plug my nose and blow out,

Time: 3648.58

or do I plug my nose and suck in?

Time: 3649.99

- Right, so the basic idea is that,

Time: 3652.09

if your ears feel bad because you're going into an area

Time: 3657.23

of higher pressure, so if they pressurize the cabin

Time: 3661.05

more than the pressure that you have on the surface

Time: 3662.724

of the planet, your eardrums will be bending in

Time: 3666.04

and they don't like that.

Time: 3667.06

If you push them more they'll hurt even more.

Time: 3668.69

- It's a good description that the pressure goes up

Time: 3671.64

then they're going to bend in.

Time: 3673.013

- Bend in and then reverse would be true

Time: 3674.7

if you go into an area of low pressure.

Time: 3676.68

So if you knew you started to drive up the mountain side

Time: 3680.06

the pressure's getting lower and lower outside,

Time: 3682.17

now the air behind your eardrum is ballooning out.

Time: 3685.514

- Yep. - Right?

Time: 3686.91

So it's just a question

Time: 3687.743

of are you trying to get more pressure or less pressure

Time: 3690.25

behind the eardrum and there's a little tube that does that

Time: 3692.547

and comes down into back your throat there.

Time: 3695.6

And if you force pressure up that tube,

Time: 3697.296

you're going to be putting more air pressure

Time: 3699.55

into the compartment.

Time: 3701.15

- To counter it.

Time: 3702.308

- If it's not enough and if you're sucking

Time: 3705.54

you're going the other way.

Time: 3706.5

In reality, I think as long as you open the passageway,

Time: 3709.13

I think the pressure differential

Time: 3710.444

is going to solve your problem.

Time: 3712.27

So I think you could actually blow in

Time: 3714.27

when you're not supposed to.

Time: 3715.99

- Okay, so you could just hold your nose and blow air out,

Time: 3720.23

or hold your nose and suck in the.

Time: 3723.37

- Right. - Effect either way is fine?

Time: 3725.05

- I think so.

Time: 3725.98

- Excellent, I just won $100 from Harvey Karten.

Time: 3728.154

[laughs]

Time: 3729.15

- Thank you very much, this is a lot.

Time: 3730.54

Harvey and I used to teach neuroanatomy together

Time: 3732.47

and I was like I don't think it matters,

Time: 3734.22

but thank you very much, I'll split that with you.

Time: 3736.707

- Okay.

Time: 3737.54

[laughs]

Time: 3738.532

- This is important stuff.

Time: 3741.116

But it's true you hear this.

Time: 3743.092

So it doesn't matter either way.

Time: 3744.77

- I'm no expert in this area.

Time: 3746.93

- Don't worry. - Don't quote me.

Time: 3747.92

- He's not going to, well, I'm going to quote you.

Time: 3750.231

But, okay, so we've talked about the inner ear,

Time: 3752.22

we've talked about the cerebellum.

Time: 3754

I want to talk about an area of the brain

Time: 3755.77

that is rarely discussed which is the midbrain.

Time: 3759.38

- Yeah.

Time: 3760.213

- And for those that don't know,

Time: 3762.86

the midbrain is an area beneath the cortex.

Time: 3765.322

I guess we never really defined cortex

Time: 3766.65

was kind of the outer layers or are the outer layers

Time: 3770.69

of the at least mammalian brain or human brain.

Time: 3774.207

But the midbrain is super interesting,

Time: 3776.796

because it controls a lot of unconscious stuff,

Time: 3782.46

reflexes, et cetera.

Time: 3784.78

And then there's this phenomenon even called blind sight.

Time: 3787.93

So could you please tell us about the midbrain

Time: 3791.02

about what it does, and what in the world is sight?

Time: 3795.7

- Yeah, so there's a lot of pieces there.

Time: 3799.55

I think the first thing to say is,

Time: 3800.96

if you imagine the nervous system in your mind's eye,

Time: 3804.999

you see this big honking brain

Time: 3806.759

and then there's this little wand

Time: 3810.87

that dangles down into your vertical column the spinal cord

Time: 3814.57

and that's kind of your visual impression.

Time: 3817.81

What you have to imagine is starting in the spinal cord

Time: 3820.14

and working your way up into this big magnificent brain

Time: 3822.567

and what you would do as you enter the skull,

Time: 3826.44

is get into a little place where the spinal cord

Time: 3828.97

kind of thickens out.

Time: 3830.18

It still has that sort of long, skinny trunk-like feeling.

Time: 3834.55

- It's more like a paddle or a spoon shape.

Time: 3836.72

- Right, it starts to spread out a little bit

Time: 3838.257

and that's 'cause your evolutionists

Time: 3840.23

packed more interesting goodies in there

Time: 3842.08

for processing information and generating movement.

Time: 3845.33

So beyond that is this tween brain we were talking about.

Time: 3850.557

This linker brain with diencephalon really means

Time: 3853.443

the between brain.

Time: 3854.85

- Oh, I thought you said tween.

Time: 3856.08

- Well, it is, yes. - No, no, no, between.

Time: 3857.78

Between. - Between.

Time: 3858.613

[indistinct] - You said tween.

Time: 3859.78

- Yeah, it's the between, it's the between brain

Time: 3862.25

is what the name means.

Time: 3864.32

It's the linker from the spinal cord in the periphery

Time: 3867.78

up to these grand centers of the cortex.

Time: 3870.107

But this midbrain you're talking about is the last bit

Time: 3874.267

of this enlarged sort of spinal cordy thing in your skull,

Time: 3877.97

which is really the brain stem is what we call it.

Time: 3880.646

The last bit of that before you get to this relay up

Time: 3884.04

to the cortex is the midbrain.

Time: 3886.99

And there's a really important visual center there,

Time: 3889.268

it's called the superior colliculus.

Time: 3892.35

There's a similar center in the brains

Time: 3894.56

of other vertebrate animals a frog for example or a lizard,

Time: 3898.46

would have this is called the optic tectum there

Time: 3901.41

but it's a center, then in these non-mammalian vertebrates,

Time: 3908.44

is really the main visual center.

Time: 3911.05

They don't really have what we would call a visual cortex

Time: 3913.32

although there's something sort of like that.

Time: 3915.68

But this is where most of the action is

Time: 3917.57

in terms of interpreting visual input

Time: 3919.57

and organizing behavior around that.

Time: 3923.95

You can sort of think about this region

Time: 3926.44

of the brain stem as a reflex center

Time: 3928.55

that can reorient the animal's gaze or body

Time: 3934.47

or maybe even attention to particular regions of space

Time: 3939.41

out there around the animal

Time: 3941.59

and that could be for all kinds of reasons.

Time: 3943.493

It might be a predator just showed up in one corner

Time: 3946.303

of the forest and you pick that up

Time: 3948.177

and you're trying to avoid it.

Time: 3949.683

- Or just any movement. - Any movement, right?

Time: 3952.4

It might be that suddenly something splats on the page

Time: 3957.31

when you're reading a novel

Time: 3958.184

and your eye reflexively looks at it.

Time: 3961.904

You don't have to think about that, that's a reflex.

Time: 3964.2

- What if you throw me a ball but I'm not expecting it?

Time: 3967.3

- Right. - And I just reach up

Time: 3968.18

try and grab it touch it or not.

Time: 3970.8

Is that handled by the midbrain?

Time: 3972.32

- Well, that's probably not the midbrain

Time: 3974.94

although by itself, because it's going to involve

Time: 3978.3

all these limb movements,

Time: 3979.71

this movement of your arm and body.

Time: 3983.01

- What about ducking

Time: 3983.89

if something's suddenly thrown in your head?

Time: 3985.67

- Sure, right, things like that

Time: 3987.1

will certainly have a brainstem component,

Time: 3988.99

a midbrain component, something looms and you duck.

Time: 3994.01

It may not be the superior colliculus

Time: 3996.15

we're talking about now,

Time: 3997.01

it might be another part of the visual midbrain.

Time: 3999.15

But these are centers that emerged early

Time: 4001.69

in the evolution of brains like ours

Time: 4003.92

to handle complicated visual events

Time: 4006.291

that have significance for the animal

Time: 4008.9

in terms of space, where is it in space?

Time: 4011.63

And in fact, this same center

Time: 4013.02

actually gets input from all kinds of other sensory systems

Time: 4016.21

that take information from the external world

Time: 4018.88

from particular locations

Time: 4020.59

and where you might want to either avoid or approach things

Time: 4023.54

according to their significance to you.

Time: 4025.338

So you get input from the touch system,

Time: 4028.7

you get input from the auditory system.

Time: 4031.53

I work for a while in rattlesnakes,

Time: 4033.49

they get input from a part of their warm sensors

Time: 4037.315

on their face, they're in these little pits on the face.

Time: 4040.058

- To work on baby rattlesnakes, right?

Time: 4042.104

- They were adults.

Time: 4043.589

- Oh, I wasn't trying to diminish the danger.

Time: 4045.67

I thought for some reason they were little ones.

Time: 4047.29

- No. - Why in the world

Time: 4048.507

would you work on rattlesnakes?

Time: 4050.28

- Well, because they have a version

Time: 4053.77

of an extra receptive sensory system

Time: 4055.94

that is they're looking out into the world

Time: 4059.02

using a completely different set of sensors.

Time: 4061.1

They're using the same sensors

Time: 4062.31

that would feel the warmth on your face

Time: 4063.99

if you stood in front of a bonfire.

Time: 4065.569

Except, evolution has given them

Time: 4068.41

this very nice specialized system

Time: 4069.97

that lets them image where the heat's coming from.

Time: 4072.21

You can sort of do that anyway, right?

Time: 4073.92

If you walk around the fire,

Time: 4076.26

you can feel where the fire is from the heat

Time: 4079.59

hitting your face.

Time: 4080.57

- Is that the primary way in which they detect prey?

Time: 4084.38

- It's one of one of the major ways.

Time: 4086.71

And in fact, they use vision as well

Time: 4089.14

and they bring these two systems together

Time: 4091.14

in the same place in this tectum regions

Time: 4093.81

brain stem, midbrain.

Time: 4094.856

- What's the tongue jutting about when the snakes?

Time: 4097.56

- That I don't know.

Time: 4099.13

That may be old factory, they're maybe.

Time: 4100.77

- They're sniffing the air with their tongue?

Time: 4101.954

- Yeah, there may be, 'cause.

Time: 4103.58

- On our drive you told me that flies actually taste things

Time: 4107.08

with their feet. - They do, yeah.

Time: 4108.59

- That's so weird.

Time: 4109.423

- Yeah, they have taste receptors and lots of funny places.

Time: 4113.32

I want to pause here just for one second

Time: 4114.96

before we get back into the midbrain.

Time: 4116.54

I think what's so interesting in all seriousness

Time: 4120.16

about taste receptors on feet, heat sensors,

Time: 4125.08

tongues shutting out of snakes and vision

Time: 4128.5

and all this integration is that,

Time: 4130.76

it really speaks to the fact that all these sensory neurons

Time: 4135.06

are trying to gather information and stuff it into a system

Time: 4139.75

that can make meaningful decisions and actions.

Time: 4143.28

And that it really doesn't matter whether or not

Time: 4145.14

it's coming from eyes or ears or nose or bottoms of feet,

Time: 4148.55

because in the end, it's just electricity flowing in.

Time: 4151.5

And so it sounds like it's placed on each animal,

Time: 4154.92

it always feels weird to call fly an animal.

Time: 4157.36

But they are creatures, they are animals.

Time: 4161.41

It's placed in different locations on different animals

Time: 4163.78

depending on the particular needs of that animal.

Time: 4166.527

- Right, but how much more powerful

Time: 4169.16

if the nervous systems can also cross-correlate

Time: 4172.87

across sensory systems?

Time: 4174.95

So if you've got a weak signal from one sensory system,

Time: 4178.14

you're not quite sure there's something there.

Time: 4179.98

And a weak signal from an another sensory system

Time: 4183.02

that's telling you the same locations

Time: 4184.8

is a little bit interesting.

Time: 4186.36

There might be something there

Time: 4187.78

if you've got those two together you've got corroboration.

Time: 4190.53

Your brain now says it's much more likely

Time: 4193.14

that that's going to be something worth paying attention to.

Time: 4196.89

- Right, so maybe I'm feeling some heat

Time: 4199.6

on one side of my face

Time: 4202.28

and I also smell something baking in the oven.

Time: 4205.56

- Right. - So now there's,

Time: 4206.69

it's neither is particularly strong, but as you said,

Time: 4208.85

there's some corroboration.

Time: 4210.06

- Right. And that corroboration

Time: 4211.34

is occurring in the midbrain.

Time: 4212.51

- Right, and then if you throw things into conflict,

Time: 4215.99

now the brain is confused

Time: 4217.35

and that may be where your emotion sickness comes from.

Time: 4220.05

So it is great to have, as a brain,

Time: 4223.03

it's great to have as many sources of information

Time: 4224.79

as you can have, just like if you're a spy

Time: 4228.57

or a journalist, you don't want as much information

Time: 4230.62

as you can get about what's out there,

Time: 4233.07

but if things conflict, that's problematic, right?

Time: 4235.67

Your sources are giving you different information

Time: 4237.39

about what's going on.

Time: 4238.51

Now you've got a problem on your hands, what do you publish?

Time: 4241.518

- The midbrain is so fascinating.

Time: 4243.56

I don't want to eject us from the midbrain

Time: 4246.02

and go back to the vestibular system,

Time: 4247.87

but I do have a question that I forgot to ask

Time: 4249.68

about the vestibular system which is,

Time: 4251.55

why is it that for many people including me,

Time: 4253.882

despite my motion sickness in cabs,

Time: 4256.46

that there's a sense of pleasure

Time: 4259.25

in moving through space and getting tilted relative

Time: 4262.3

to the gravitational pull of the earth?

Time: 4264.21

For me growing up it was skateboarding,

Time: 4265.72

but people like to corner in cars, corner on bikes,

Time: 4270.2

maybe for some people it's done running or dance.

Time: 4273.37

But what is it about moving through space

Time: 4276.35

and getting tilted a lot of surfers around here.

Time: 4279.72

Getting tilted that can tap

Time: 4283.27

into some of the pleasure centers.

Time: 4285.36

Do we have any idea why that would feel like?

Time: 4286.93

- I have no clue.

Time: 4288.61

- Is there dopaminergic input to this system?

Time: 4291.5

- Well, the dopaminergic system gets a lot of places.

Time: 4297.19

It's pretty much to some extent everywhere in the cortex

Time: 4301.38

a lot more in the frontal lobe of course,

Time: 4303.55

but that's just for starters.

Time: 4306.17

There's basically dopaminergic innervation most places

Time: 4308.69

in the central nervous system.

Time: 4310.31

So there's the potential for dopamine urging involvement

Time: 4312.72

but I really have no clue about the tilting phenomenon.

Time: 4315.27

- People pay money to go on roller coasters.

Time: 4318.04

- Right, well, I think that may be as much about the thrill

Time: 4320.69

as anything. - Sure.

Time: 4321.54

And the falling reflex is very robust in all of us

Time: 4324.833

when the visual world's going up very fast

Time: 4327.19

it usually means that we're falling.

Time: 4328.46

- Right. - But some people like that,

Time: 4329.98

some people don't. - Right.

Time: 4331.33

And kids tolerate a lot more sort of vestibular craziness

Time: 4336.07

spinning around until they've dropped.

Time: 4338.47

- And I've friends, it always you worries me a little bit

Time: 4341.809

that they throw their kids.

Time: 4343.61

I'm not recommending anyone do this.

Time: 4345

When they're little like throwing the kids

Time: 4347.02

really far back and forth, some kids seem to love it.

Time: 4350.034

- Yeah, yeah, our son loved being shaken up and down

Time: 4353.91

very vigorously, that's the only thing

Time: 4357.87

that would calm him down sometimes.

Time: 4359.29

- Interesting, yeah, so I'm guessing

Time: 4361.035

we can guess that maybe there's some activation

Time: 4366.37

of the reward systems from. - Yeah.

Time: 4368.32

- Being moving through space.

Time: 4370.21

- Well, if you think about how rewarding it is

Time: 4372.74

to be able to move through space

Time: 4374.484

and how unhappy people are who are used to that

Time: 4377.94

who suddenly aren't able to do that,

Time: 4379.69

there is a sense of agency, right?

Time: 4381.76

If you can choose to move through the world and to tilt,

Time: 4385.25

that's not only you're moving through the world,

Time: 4386.81

but you're doing it with a certain amount of finesse,

Time: 4388.45

maybe that's what it is.

Time: 4389.34

You can feel like you're the master of your own movement

Time: 4393.29

in a way that you wouldn't if you're going straight.

Time: 4395.119

I'm just blowing smoke here, right?

Time: 4397.17

- Yeah, well, we can speculate, that's fine.

Time: 4398.93

I couldn't help but ask the question.

Time: 4401.44

Okay, so if we move ourselves pun intended

Time: 4405.04

back into the midbrain,

Time: 4407.26

the midbrain is combining all these different signals

Time: 4409.13

for reflexive action.

Time: 4411.17

At what point does this become deliberate action?

Time: 4414.92

Because if I look at something I want and I want to pursue it,

Time: 4417.61

I'm going to go toward it

Time: 4419.18

and many times that's a deliberate decision.

Time: 4422.36

- Right, so this gets very slippery I think,

Time: 4426.69

because what you have to try to imagine

Time: 4429.3

is all these different parts of the brain

Time: 4431.03

working on the problem of staying alive

Time: 4436.22

and surviving in the world,

Time: 4439.02

they're working on the problem simultaneously,

Time: 4441.12

and there's not one right answer how to do that.

Time: 4446.28

But one way to think about it is that,

Time: 4449.87

you have high levels of your nervous system

Time: 4451.76

that are very well designed to override

Time: 4456.1

an otherwise automatic movement if it's inappropriate.

Time: 4459.58

So if you imagine you've been invited to tea with the queen

Time: 4463.73

and she hands you very fancy Wedgewood teacup very thin.

Time: 4469.74

- Wedgewood teacup?

Time: 4470.84

- Yes, with very hot tea in it and you're burning your hand,

Time: 4474.1

you probably will try to find a way to put that back down

Time: 4476.96

on the saucer rather than just dropping it on the floor

Time: 4480.13

because you're with the queen.

Time: 4482.77

You're trying to be appropriate to that.

Time: 4485.52

So you have ways of reining in automatic behaviors

Time: 4489.4

if they're going to be maladaptive.

Time: 4492.13

But you also want the reflex to work quickly

Time: 4494.58

if it's the only thing that's going to save you.

Time: 4496.06

The looming object coming at your head,

Time: 4498.36

you don't have time to think about that.

Time: 4500.3

So this is the interplay

Time: 4503.07

in these hierarchically organized centers

Time: 4505.26

of the nervous system at the lowest level.

Time: 4507.69

You've got the automatic sensors and centers

Time: 4510.23

and reflex arcs that will keep you safe

Time: 4514.5

even if you don't have time to think about it,

Time: 4516.56

and then you've got the higher center saying,

Time: 4518.74

well, maybe we could do this as well

Time: 4520.64

or maybe we shouldn't do that at all, right?

Time: 4523.51

So you have all these different levels

Time: 4525.7

operating simultaneously

Time: 4527.55

and you need bi-directional communication

Time: 4530.63

between high-level, cognitive centers,

Time: 4534.61

decision-making on the one hand,

Time: 4537.427

and these low-level very helpful reflexive centers,

Time: 4540.3

but they're a little bit rigid, a little hard-wired

Time: 4543.099

so they need some nuance.

Time: 4544.55

So they're both of these things are operating in tandem

Time: 4547.4

in real time, all the time in our brains

Time: 4549.86

and sometimes we listen more to one than the other.

Time: 4551.76

You've heard people in sports talking about messing up

Time: 4555.5

at the play 'cause they over thought it.

Time: 4557.55

Thinking too hard about it.

Time: 4559.01

That's partly you've already trained your cerebellum

Time: 4561.88

how to hit a fastball right down the middle.

Time: 4564.98

- Right, and if you start looking

Time: 4566.415

for something new or different,

Time: 4568.8

you're going to mess up your reflexive swing.

Time: 4571.13

- Right, if you're trying to think

Time: 4572.05

about the physics of the ball as it's coming at you,

Time: 4575.02

you've already missed, right?

Time: 4576.103

Because you're not using your, all those reps

Time: 4579.95

have built a kind of knowledge is what you want to rely on

Time: 4583.69

when you don't have enough time to contemplate.

Time: 4588.22

- This is important and a great segue

Time: 4590.34

for what I'd like to discuss next

Time: 4592.501

which is the basal ganglia.

Time: 4595.92

This really interesting of the area of the brain

Time: 4598.24

that's involved in go-type commands

Time: 4602.72

and behaviors instructing us to do things

Time: 4604.99

and no-go preventing us from doing things.

Time: 4607.8

Because so much of motor learning and skill execution

Time: 4610.75

and not saying the wrong thing

Time: 4613.56

or sitting still in class

Time: 4615.324

or as you use with the tea with the queen example

Time: 4619.52

feeling discomfort involves suppressing behavior

Time: 4623.93

and sometimes it's activating behavior.

Time: 4625.338

- Right.

Time: 4626.171

- A tremendous amount of online attention

Time: 4627.44

is devoted to trying to get people motivated.

Time: 4631.41

This isn't the main focus of our podcast.

Time: 4633.35

We touch on some of the underlying neural circuits

Time: 4634.892

of motivation dopamine and so forth.

Time: 4637.45

But so much of what people struggle with out there

Time: 4641.03

are elements around failure to pay attention.

Time: 4646.03

- Right.

Time: 4646.863

- Or challenges in paying attention

Time: 4648.34

which is essentially like putting the blinders on

Time: 4649.937

and they're getting a soda straw view of the world

Time: 4652.69

and maintaining that for a about of work

Time: 4654.72

or something of that sort and trying to get into action.

Time: 4658.94

So of course, this is carried out by many neural circuits

Time: 4662.44

not just the basal ganglia.

Time: 4663.62

But what are the basal ganglia,

Time: 4665.89

and what are their primary roles in controlling

Time: 4669.1

go type behavior and no-go type behavior?

Time: 4671.95

- Yeah, so the basal ganglia are sitting deep

Time: 4675.175

in what you would call the forebrains

Time: 4677.7

or the highest levels of the brain.

Time: 4680.56

They are sort of cousins to the cerebral cortex

Time: 4685.5

which we talked about as sort of the highest level

Time: 4687.49

of your brain, the thing you're thinking with.

Time: 4689.817

- The cerebral cortex being the refined cousins

Time: 4691.552

and then you've got the. - Right.

Time: 4692.777

- The brute, yeah. - Yeah.

Time: 4695.87

That's probably totally unfair, but.

Time: 4697.61

- That's right, I like the basal ganglia.

Time: 4699.62

I can relate to the brutish parts of the brain.

Time: 4702.47

A little bit of hypothalamus,

Time: 4703.94

a little bit of basal ganglia, sure.

Time: 4705.64

- We need it all, we need it all.

Time: 4707.87

And this area of the brain has gotten a lot bigger

Time: 4713.8

as the cortex has gotten bigger

Time: 4715.32

and it's deeply intertwined with cortical function.

Time: 4719.35

The cortex can't really do what it needs to do

Time: 4721.251

without the help of the basal ganglia and vice versa.

Time: 4723.73

So they're really intertwined.

Time: 4728.8

And in a way you can think about this logically is saying,

Time: 4732.37

if you have the ability to withhold behavior

Time: 4735.087

or to execute it, how do you decide which to do?

Time: 4738.89

Well, the cortex is going to have to do that thinking for you.

Time: 4741.72

You have to be looking at all the contingencies

Time: 4744.33

of your situation to decide is this a crazy move,

Time: 4747.68

or is this a really smart investment right now or what?

Time: 4751.35

- I don't want to go out for a run in the morning,

Time: 4753.127

but I'm going to make myself go out for a run,

Time: 4755.28

or I'm having a great time out on a run

Time: 4757.84

and I know I need to get back

Time: 4759.13

but I kind of want to go another mile.

Time: 4760.74

- I mean, another great example is that,

Time: 4762.59

the marshmallow test for the little kids.

Time: 4764.3

They can get two marshmallows if they hold off

Time: 4768.45

just 30 seconds initially, they can have one right away.

Time: 4772.55

But if they can wait 30 seconds, they got two.

Time: 4774.29

So that's the no go because their cortex is saying,

Time: 4777.4

I would really like to have two more than having one.

Time: 4781.02

But they're not going to get the two

Time: 4782.49

unless they can not reach for the one.

Time: 4785.71

So they've got to hold off the action

Time: 4789.64

and that has to result from a cognitive process.

Time: 4793.38

So the cortex is involved in this in a major way.

Time: 4797.614

- Yeah, as I recall in that experiment,

Time: 4799.02

the kids used a variety of tools.

Time: 4801.03

Some would distract themselves.

Time: 4802.73

I particularly related to the kid

Time: 4804.41

that would just put himself right next to the marshmallows

Time: 4807.02

and then some of the kids covered their eyes,

Time: 4810

some of them would count or sing.

Time: 4811.86

Yeah, so that's all very cortical, right?

Time: 4813.32

Coming up with a novel strategy,

Time: 4815.1

simple example that we're using here.

Time: 4816.59

But of course, this is at play anytime someone decides

Time: 4819.55

they want to go watch a motivational speech

Time: 4821.48

or something just a Steve Jobs commencement speech

Time: 4824.28

just to get motivated to engage in their day.

Time: 4826.077

- Should I take this new job?

Time: 4828.306

It's got great benefits,

Time: 4830.05

but it's in a lousy part of the country.

Time: 4832.11

- Why do you think that some people have a harder time

Time: 4836.13

running these go no-go circuits

Time: 4838.17

and other people seem to have very low activation energy

Time: 4842.23

we would say, they could just, they have a task,

Time: 4844.78

they just lean into the task. - Right.

Time: 4846.09

- Whereas some people getting into task completion

Time: 4849.08

or things of that sort is very challenging for them?

Time: 4852.48

- Yeah, I think it's really just another,

Time: 4854.96

it's a special case of a very general phenomenon

Time: 4857.34

which is brains are complicated.

Time: 4860.35

And the brains we have are the result of genetics

Time: 4865.48

and experience, and my genes are different from your genes

Time: 4868.87

and my experiences are different from your experiences.

Time: 4871.04

So the things that would be easy or hard for us

Time: 4873.63

won't necessarily be aligned, they might just happen to be

Time: 4877.17

just because they are, but the point is that,

Time: 4880.387

you're dealt a certain set of cards,

Time: 4883.98

you have certain set of genes, you are handed a brain,

Time: 4887.66

you don't choose your brain it's handed to you.

Time: 4890.71

Then there's all this stuff you can do with it.

Time: 4892.33

You can learn to have new skills or to act differently

Time: 4899.92

or to show more restraint which is kind of relevant

Time: 4902.36

to what we're talking about here.

Time: 4903.84

Or maybe show less restraint

Time: 4905.83

if your problem is you're so buttoned down,

Time: 4908.09

you never have any fun in life

Time: 4909.26

and you should loosen up a little bit.

Time: 4910.99

- Thank you, I appreciate that.

Time: 4912.172

- Yeah. - Yeah.

Time: 4913.296

[laughs]

Time: 4915.36

David's always encouraging me

Time: 4916.48

to have a little more fun in life.

Time: 4917.907

[laughs]

Time: 4919.94

So basil ganglia they're kind of the disciplinarian

Time: 4924.12

or they're sort of the instructor conductor of sorts, right?

Time: 4927.99

Go, no-go, you be quiet, you start now.

Time: 4931.45

- I wish I knew more about the basal ganglia than I do.

Time: 4934.95

My sense is that, this system is key

Time: 4939.37

for implementing the plans that get cooked up in the cortex,

Time: 4944.96

but they also influence the plans

Time: 4947.69

that the cortex is dishing out

Time: 4950.59

because this is a major source of information to the cortex.

Time: 4954.57

So it becomes almost impossible to figure out

Time: 4957.93

where the computation begins and where it ends

Time: 4960.67

and who's doing what

Time: 4961.82

because these things are all interacting

Time: 4964.24

in a complex network, and it's all of it.

Time: 4966.68

It's the whole network, it's not one is the leader

Time: 4969.42

and the other is the follower.

Time: 4970.55

- Right, of course, yeah, these are all the structures

Time: 4972.53

that we're discussing are working in parallel.

Time: 4975.45

- Right.

Time: 4976.283

- And there's a lot of changing crosstalk.

Time: 4979.18

I have this somewhat sick habit David.

Time: 4983.3

Every day I try and do 21 no-gos.

Time: 4986.23

So if I want to reach for my phone,

Time: 4988.19

I try and not do it just to see if I can prevent myself

Time: 4992.12

from engaging in that behavior, if it was reflexive,

Time: 4995.55

if it's something I want to do a deliberate choice,

Time: 4998.55

then I certainly allow myself to do it.

Time: 5000.36

- Right.

Time: 5001.193

- I don't tend to have too much trouble with motivation

Time: 5002.026

with go type functions, mostly because I'm so busy

Time: 5005.92

that I'd wish I had more time for more goes so to speak.

Time: 5011.14

But do you think these circuits

Time: 5013.18

have genuine plasticity in them?

Time: 5015.24

- Absolutely, everybody knows how they've learned

Time: 5018.27

over time to wait for the two marshmallows, right?

Time: 5022.21

You don't have to have instant gratification all the time.

Time: 5024.9

You're willing to do a job

Time: 5027.29

sometimes it isn't your favorite job

Time: 5029.51

because it comes with the territory

Time: 5030.88

and you want the salary that comes at the end of the week

Time: 5032.85

or the end of the month, right?

Time: 5034.23

So we can defer gratification.

Time: 5037.48

We can choose not to say the thing

Time: 5039.94

that we know is going to inflame our partner

Time: 5041.96

and create a meltdown for the next week.

Time: 5046.43

We learn this control,

Time: 5047.97

but I think these are skills like any other

Time: 5051.41

you can get better at them if you practice them.

Time: 5053.11

So I think you're choosing to do that to spontaneously,

Time: 5055.605

is kind of a mental practice, it's a discipline,

Time: 5058.82

it's a way of building a skill that you want to have.

Time: 5061.78

- Yeah, I find it to be something

Time: 5063.219

that when I engage in a no-go type situation,

Time: 5069.89

then the next time and the next time

Time: 5072.08

that I find myself about to move reflexively,

Time: 5074.37

there's a little gap in consciousness

Time: 5076.36

that I can make a decision whether or not

Time: 5078.71

this is really the best use of my time.

Time: 5080.86

Because sometimes I wonder whether or not all this business

Time: 5083.87

around attention certainly there's the case of ADHD

Time: 5087

and clinical diagnosed ADHD.

Time: 5088.73

But all the issue around focus and attention

Time: 5091.24

is really that people just have not really learned

Time: 5093.49

how to short circuit a reflex.

Time: 5096.3

And so much of what makes us different than rattlesnakes,

Time: 5099.18

or well, actually they could be deliberate,

Time: 5101.16

but from the other animals

Time: 5103.3

and is our ability to suppress reflex.

Time: 5106.022

- Yeah, well, that's the cortex.

Time: 5108.3

Or let's say the forebrain.

Time: 5109.775

Cortex and basal ganglia are working together

Time: 5112.62

sitting on top of this lizard brain

Time: 5115.63

that's giving you all these great adaptive reflexes

Time: 5117.96

that help you survive.

Time: 5119.47

You just hope you don't get the surprising case

Time: 5122.43

where the thing that your reflex is telling you

Time: 5124.69

is actually exactly the wrong thing

Time: 5126.21

and you make a mistake, right?

Time: 5127.616

[indistinct]

Time: 5128.449

Right, so that's what the cortex is for.

Time: 5129.9

It's adding nuance and context and experience,

Time: 5133.78

past association and in human beings obviously,

Time: 5137.37

learning from others through communication.

Time: 5141.36

- Well, I was, you went right to it

Time: 5144.51

and it was where I was going to go.

Time: 5145.71

So let's talk about the cortex.

Time: 5147.09

We've worked our way up the so-called neuraxis

Time: 5149.71

as the aficionados will know, so we're in the cortex.

Time: 5154.11

This is the seat of our higher consciousness,

Time: 5155.87

self-image, planning and action.

Time: 5158.23

But as you mentioned, the cortex isn't just about that,

Time: 5160.5

it's got other regions that are involved in other things.

Time: 5162.96

So maybe we should staying with vision,

Time: 5165.6

let's talk a little bit about visual cortex.

Time: 5167.87

You told me an amazing story about visual cortex

Time: 5171.79

and it was somewhat of a sad story

Time: 5173.3

unfortunately about someone who had a stroke

Time: 5175.86

to visual cortex.

Time: 5177.93

Maybe if you would share that story

Time: 5180.29

because I think it illustrates many important principles

Time: 5183.24

about what the cortex does.

Time: 5185.08

- Right, so the visual cortex

Time: 5189.938

you could say the projection screen.

Time: 5191.61

The first place where this information streaming

Time: 5195.76

from the retina through this thalamus connecting linker

Time: 5201.78

gets played out for the highest level of your brain to see.

Time: 5207.84

It's a representation,

Time: 5208.81

it's a map of things going on in the visual world

Time: 5212.58

that's in your brain.

Time: 5215.16

And when we describe a scene to a friend,

Time: 5221.06

we're using this chunk of our brain to be able to put words

Time: 5224.49

which are coming from a different part of our cortex

Time: 5227.26

to the objects and movements and colors that we see

Time: 5230.75

in the world.

Time: 5233.26

So that's a key part of your visual experience

Time: 5237.383

when you can describe the things you're seeing,

Time: 5240.46

you're looking at your visual cortex, and this is.

Time: 5243.65

- Could I just ask a quick question?

Time: 5244.64

So right now because I'm looking at your face.

Time: 5247.07

- Right. - As we're talking,

Time: 5249.03

there are neurons in my brain

Time: 5251.04

more or less in the configuration of your face

Time: 5254.73

that are active as you move about.

Time: 5257.83

And what if I were to close my eyes and just imagine,

Time: 5263.54

I do this all the time by the way David.

Time: 5264.96

I close my eyes and i imagine David Berson's face.

Time: 5268.111

[laughs]

Time: 5268.944

I don't tend to do that as often, maybe I should.

Time: 5271.12

But you get the point, I'm now using visualization

Time: 5274.57

of what you look like by way of memory.

Time: 5276.93

- Right. - If we were to image

Time: 5278.15

the neurons in my brain, would the activity of neurons

Time: 5282.46

resemble the activity of neurons that's present

Time: 5287.49

when I open my eyes and look at your actual face?

Time: 5289.72

- This is a deep question, we don't really have a full.

Time: 5292.89

- It seems like.

Time: 5293.723

[indistinct]

Time: 5295

- Yes, except you're talking about looking in detail

Time: 5298.8

at the activity of neurons in a human brain

Time: 5302.11

and that's not as easy to do

Time: 5304.042

as it would be in some kind of animal model.

Time: 5307.13

But the bottom line is that,

Time: 5309.05

you have a spatial representation of the visual world

Time: 5314.27

late as a map of the visual world

Time: 5316.404

lay down on the surface of your cortex.

Time: 5318.92

The thing that's surprising is that,

Time: 5321.5

it's not one map, it's actually dozens of maps.

Time: 5324.88

- What do each of those maps do?

Time: 5326.4

- Well, we don't really have a full accounting there either,

Time: 5328.76

but it looks a little bit like the diversification

Time: 5332.25

of the output neurons of the retina,

Time: 5335.01

the ganglion cells we were talking about before.

Time: 5336.95

There are different types of ganglion cells

Time: 5338.79

that are encoding different kinds of information

Time: 5340.95

about the visual world,

Time: 5341.96

we talk about the ones that were encoding the brightness.

Time: 5345.07

but other ones are encoding motion or color

Time: 5347.74

these kinds of things, the same kinds of specializations

Time: 5350.6

in different representations of the visual world

Time: 5353

in the cortex seem to be true.

Time: 5356.02

It's a complex story, we don't have the whole picture yet,

Time: 5359.91

but it does look as if some parts of the brain

Time: 5361.78

are much more important

Time: 5362.613

for things like reaching for things in the space around you.

Time: 5368.17

And other parts of the cortex are really important

Time: 5370.07

for making associations between particular visual things

Time: 5372.82

you're looking at now and their significance.

Time: 5375.86

What is that object, what can it do for me,

Time: 5378.44

how can I use it?

Time: 5379.65

- What about the really specialized areas of cortex

Time: 5382.4

like neurons that respond to particular faces,

Time: 5386.5

or neurons that I don't know can help me understand

Time: 5391.63

where I am relative to some other specific object?

Time: 5394.72

- Right, so these are our properties of neurons

Time: 5399.01

that are extracted from detected by recording the activity

Time: 5406.66

of single neurons in some experimental system.

Time: 5409.55

What's going on when you actually

Time: 5411.51

perceive your grandmother's face,

Time: 5413.78

is a much more complicated question

Time: 5415.57

and it clearly involves hundreds and thousands

Time: 5417.56

and probably millions of neurons

Time: 5419.329

acting in a cooperative way.

Time: 5421.49

So you can pick out any one little element

Time: 5423.91

in this very complicated system

Time: 5426.06

and see that it's responding differentially

Time: 5428.17

to certain kinds of visual patterns

Time: 5429.95

and you think you're seeing a glimpse

Time: 5431.61

of some part of the process

Time: 5433.05

by which you recognize your grandmother's face.

Time: 5436.14

But that's a long way from a complete description

Time: 5438.94

and it certainly isn't going to be at the level

Time: 5440.95

of a magic single neuron that has the special stuff

Time: 5444.16

to recognize your grandmother, it's going to be in some pattern

Time: 5446.46

of activity across many, many cells

Time: 5450.27

resonating in some kind of special way

Time: 5452.89

that will represent the internal memory of your mother.

Time: 5457.57

- So it's really incredible? - Yeah.

Time: 5459.373

- I mean that every time we do this deep dive

Time: 5461.62

which we do from time to time,

Time: 5462.84

you and I we kind of like march into the nervous system

Time: 5465.26

and explore how different aspects of our life experiences

Time: 5470.193

is handled there and how it's organized.

Time: 5475.855

After so many decades of doing this,

Time: 5477.65

it still boggles my mind that the collection of neurons

Time: 5482.76

one through seven active in a particular sequence

Time: 5486.43

gives the memory of a particular face

Time: 5488.68

and run backwards seven through to one,

Time: 5492.27

it gives you a, it could be rattlesnake

Time: 5496.27

pit viper heat sensing organs. - Right.

Time: 5498.477

- You were talking about earlier.

Time: 5500.98

So it sounds,

Time: 5501.9

is it true that there's a lot of multi-purposing

Time: 5504.82

of the circuitry, like we can't say

Time: 5506.79

one area of the brain does A

Time: 5509.32

and another area of the brain does B.

Time: 5510.99

So areas can multitask or have multiple jobs.

Time: 5515.59

They can moonlight.

Time: 5516.51

- Right, but I think in my career,

Time: 5521.15

the hard problem has been to square that

Time: 5526.19

with the fact that things are specialized

Time: 5530.94

that there are specific genes expressed

Time: 5533.233

in specific neurons that make them make synaptic connections

Time: 5537.21

with only certain other neurons.

Time: 5539.29

And that particular synaptic arrangement

Time: 5541.92

actually results in the processing of information

Time: 5544.91

that's useful to the animal to survive, right?

Time: 5548.45

So it's not as if it's either a big undifferentiated network

Time: 5553.72

of cells and looking at any one

Time: 5555.89

is never going to tell you anything

Time: 5557.1

that's too extreme on the one hand,

Time: 5559.29

nor is it the case that everything is hardwired

Time: 5561.07

and every neuron has one function

Time: 5562.66

and this all happens in one place in the brain,

Time: 5565.81

it's way more complicated and interactive

Time: 5568

and interconnected than that.

Time: 5569.6

- So we're not hardwired or soft-wired?

Time: 5571.85

- Both. - We're sort of,

Time: 5573.533

I don't know what the analogy should be what substance

Time: 5575.97

would work best David?

Time: 5577.13

- No idea there, but the idea is that,

Time: 5581.3

it's always network activity.

Time: 5583.42

There's always many, many neurons involved

Time: 5586.09

and yet there's tremendous specificity in the neurons

Time: 5589.28

that might or might not be participating

Time: 5590.98

in any distributed function like that, right?

Time: 5593.9

So you have to get your mind

Time: 5594.93

around the fact that it's both very specific

Time: 5597.33

and very non-specific at the same time.

Time: 5599.4

It's a little tricky to do,

Time: 5600.63

but I think that's kind of where the truth lies.

Time: 5603.1

- Yeah, and so this example

Time: 5605.58

that you mentioned to me once before about a woman

Time: 5609.09

who had a stroke in visual cortex,

Time: 5610.69

I think it speaks to some of this.

Time: 5612.13

- Right.

Time: 5613.4

- Could you share with us that story?

Time: 5614.82

- Sure, so the point is that, all those of us who see

Time: 5620.322

have representations of the visual world

Time: 5623.07

in our visual cortex.

Time: 5624.72

What happens to somebody when they become blind

Time: 5629.78

because of problems in the eye, the retina perhaps?

Time: 5634.52

You have a big chunk of the cortex,

Time: 5636.48

this really valuable [indistinct] for neural processing

Time: 5641.06

that has come to expect input from the visual system

Time: 5645.07

and there isn't any anymore.

Time: 5646.229

So you might think about that as fallow land, right?

Time: 5648.99

It's just used by the nervous system

Time: 5652.917

and that would be a pity,

Time: 5653.97

but it turns out that it is in fact used.

Time: 5658.58

And the the case that you're talking about is of a woman

Time: 5661.77

who was blind from very early in her life

Time: 5668.12

and who had risen through the ranks

Time: 5670.45

to a very high level executive secretarial position

Time: 5673.75

in a major corporation.

Time: 5676.3

And she was extremely good at braille reading

Time: 5678.63

and she had a braille typewriter

Time: 5679.79

and that's how everything was done.

Time: 5681.98

And apparently, she had a stroke and was discovered at work,

Time: 5686.1

collapsed and brought her to the hospital.

Time: 5688.45

And apparently, the neurologist who saw her

Time: 5692

when she finally came to said,

Time: 5694.107

"I've got good news and bad news."

Time: 5696.21

Bad news is you've had a stroke,

Time: 5697.95

the good news is that it was in an area of your brain

Time: 5700.26

you're not even using it's your visual cortex

Time: 5703.07

and I know you're blind from birth

Time: 5704.59

so there shouldn't be any issue here."

Time: 5706.55

The problem was, she lost her ability to read braille.

Time: 5711.18

So what appears to have been the case

Time: 5713.49

and this has been confirmed in other ways

Time: 5716.39

by imaging experiments in humans is that,

Time: 5719.15

in people who are blind from very early in birth,

Time: 5722.02

the visual cortex gets repurposed

Time: 5725.28

as a center for processing tactile information.

Time: 5728.77

And especially if you train to be a good braille reader,

Time: 5731.56

you're actually reallocating somehow that real estate

Time: 5735.73

to your fingertips.

Time: 5737.131

A part of the cortex that should be listening to the eyes.

Time: 5740.26

So that's an extreme level of plasticity.

Time: 5742.45

But what it shows, is the visual cortex

Time: 5745.76

is kind of a general purpose processing machine,

Time: 5748.77

it's good at spatial information

Time: 5751.527

and the skin of your fingers is just another spatial sense

Time: 5755.07

and deprived of any other input the brain seems smart enough

Time: 5759.63

if you want to put it that way to rewire itself

Time: 5762.55

to use that real estate for something useful,

Time: 5765.66

in this case, reading braille.

Time: 5768.08

- Incredible, somewhat tragic, but incredible.

Time: 5770.38

At least in that case tragic, yeah.

Time: 5772.3

- Very informative. - Very informative.

Time: 5774.11

And of course it can go the other way too.

Time: 5775.64

- Right.

Time: 5776.473

- Where people can gain function in particular modalities

Time: 5780.22

like improved hearing or tactile function

Time: 5782.69

in the absence of vision. - Right.

Time: 5786.95

- Tell us about connectomes, we hear about genomes,

Time: 5790.47

proteomes, microbiomes, ohms, ohms, ohms

Time: 5794.324

these days. - Yeah.

Time: 5796.94

- What's a connectome and why is it valuable?

Time: 5799.4

- Yeah, so the connectome actually now has two meanings.

Time: 5802.76

So I'll only refer to one that is my passion right now.

Time: 5807.422

And that is really trying to understand the structure

Time: 5810.14

of nervous tissue at a scale that's very, very fine.

Time: 5818.13

- Smaller than a millimeter.

Time: 5819.2

- Way smaller than a millimeter, a nanometer or less,

Time: 5822.68

as that's 1,000 times smaller,

Time: 5825.966

or it's actually a million times smaller.

Time: 5832

So really, really tiny

Time: 5834.1

on the scale of individual synapses

Time: 5836.09

between individual neurons

Time: 5837.3

or even smaller like the individual synaptic vesicles

Time: 5840.44

containing little packets of neurotransmitter

Time: 5842.26

they're going to get it released to allow one neuron

Time: 5844.71

to communicate to the next.

Time: 5846.37

So very, very fine, but the notion here is that,

Time: 5853.13

you're doing this section after section at very fine scale.

Time: 5859.27

So in theory what you have is a complete description

Time: 5861.86

of a chunk of nervous tissue that is so complete

Time: 5866.28

that if you took enough time to identify

Time: 5868.06

where the boundaries of all the cells are,

Time: 5869.86

you could come up with a complete description

Time: 5872.36

of the synaptic wiring of that chunk of nervous tissue

Time: 5875.78

because you have a complete description

Time: 5876.82

of where all the cells are and where all the synapses

Time: 5878.99

between where all the cells are.

Time: 5880.4

So now you essentially have a wiring diagram

Time: 5882.71

of this complicated piece of tissue.

Time: 5884.69

So the omics part is the exhaustiveness of it

Time: 5888.56

rather than looking at a couple of synapses

Time: 5890.29

that are interesting to you from two different cell types.

Time: 5893.89

You're looking at all the synapses of all of the cell types

Time: 5897.77

which of course is this massive avalanche of data, right?

Time: 5902.69

- So in genetics, you have genetics

Time: 5904.34

and then you have genomics

Time: 5905.38

which is the idea of getting the whole genome.

Time: 5907.05

- All of it.

Time: 5907.883

- And we don't really have an analogous word for genetics,

Time: 5910.91

but it would be connectivity and [indistinct].

Time: 5913.091

- Right. [indistinct]

Time: 5918.07

- Right, so it's wanting it all

Time: 5920.33

and of course it's crazy ambitious,

Time: 5922.68

but that's where it gets fun.

Time: 5925.24

Really it's a use of electron microscopy,

Time: 5928.53

a very high resolution microscopic imaging system

Time: 5933.48

on a new scale with way more payoff

Time: 5936.9

in terms of understanding the connectivity

Time: 5938.68

of the nervous system and it's just emerging,

Time: 5941.53

but I really think it's going to revolutionize the field

Time: 5944.29

because we're going to be able to query these circuits

Time: 5947.23

how do they actually do it, look at the hardware

Time: 5949.9

in a way that's never been possible before.

Time: 5952.43

- The the way that I describe this to people

Time: 5954.55

is if you were to take a chunk of kind of cooked

Time: 5958.38

but cold spaghetti. - Right.

Time: 5960.22

- And slice it up very thin you're trying to connect up

Time: 5963.83

each image of each slice of the edge of the spaghetti

Time: 5968.1

as figure out which ropes of spaghetti

Time: 5970.07

belong to which.

Time: 5970.903

- And have a complete description

Time: 5972.23

of where this piece of spaghetti

Time: 5973.46

touches that piece of spaghetti

Time: 5974.466

is there's something special there obviously.

Time: 5976.74

- Meat sauces and all the other cell types

Time: 5978.69

and the pesto where it all is around the spaghetti

Time: 5983.76

because those are the other cells, the blood vessels

Time: 5985.58

and the glial cells.

Time: 5987.03

And so, what's it good for?

Time: 5990.7

Maps are great, I always think of connectomics and genomics

Time: 5995.364

and proteomics, et cetera as necessary,

Time: 5999.07

but not sufficient. - Right.

Time: 6001.03

Right, so I mean in many cases what you do is you go out

Time: 6003.84

and probe the function

Time: 6005.89

and you understand how the brain does the function

Time: 6007.99

by finding neurons that seem to be firing

Time: 6010.92

in association with this function that you're observing.

Time: 6014.09

And little by little you're work your way in

Time: 6015.7

and now you want to know what the conductivity is

Time: 6017.3

maybe the anatomy could help you.

Time: 6019.73

But this connectomics approach

Time: 6021.55

or at least the serial electron microscopy

Time: 6023.66

reconstruction of neurons approach,

Time: 6027.23

really is allowing us to frame questions

Time: 6029.938

starting from the anatomy and saying,

Time: 6033.45

I see a synaptic circuit here,

Time: 6035.13

my prediction would be that these cell types would interact

Time: 6038.01

in a particular way, is that right?

Time: 6040.16

And then you can go and probe the physiology

Time: 6042.2

and you might be right or you might be wrong.

Time: 6043.76

But more often than not, it looks like the structure

Time: 6046.83

is pointing us in the right direction.

Time: 6048.78

So in my case, I'm using this to try to understand a circuit

Time: 6053.51

that is involved in this image stabilization network

Time: 6056.15

we're talking about, keeping things stable on the retina

Time: 6060.25

and this thing will only respond

Time: 6062.54

at certain speeds of motion.

Time: 6064.307

These cells in the circuit

Time: 6066.04

like slow motion they won't respond to fast motion,

Time: 6068.867

how does that come about?

Time: 6070.33

Well, I was able to probe the circuitry,

Time: 6074.04

I knew what my cells looked like,

Time: 6075.5

I could see which other cells were talking to it,

Time: 6077.116

I could categorize all the cells

Time: 6079.08

that might be the players here

Time: 6080.58

that are involved in this mechanism of tuning the thing

Time: 6083.54

for slow speeds,

Time: 6085.53

and then we said it looks like it's that cell type

Time: 6087.87

and we went and looked and the data bore that up.

Time: 6090.814

But the anatomy drove the search

Time: 6093.34

for the particular cell type

Time: 6094.51

because we could see it connected in the right place

Time: 6096.89

to the right cells.

Time: 6098.02

So creates the hypothesis

Time: 6100.09

that lets you go query the physiology,

Time: 6102.62

but it can go the other way as well.

Time: 6104.01

So it's always the synergy between these functional

Time: 6106.12

and structural approaches it gives you the most lift.

Time: 6111.29

But in many cases,

Time: 6113.68

the anatomy has been a little bit the weak sister in this.

Time: 6116.65

The structure trying to work out the diagram

Time: 6119.12

because we haven't had the methods.

Time: 6120.9

Now the methods exist

Time: 6122.68

and this whole field is expanding very quickly,

Time: 6125.74

because people want these circuit diagrams

Time: 6127.815

for the particular part of the nervous system

Time: 6130.91

that they're working on.

Time: 6132.41

If you don't know the cell types and the connections,

Time: 6134.31

how do you really understand how the machine works?

Time: 6137.42

- Yeah, what I love about is,

Time: 6138.85

we don't know what we don't know.

Time: 6139.877

- Right.

Time: 6140.71

- And scientists we don't ask questions, we pose hypotheses.

Time: 6143.89

Hypotheses being of course some prediction

Time: 6146.26

that you wager your time on basically.

Time: 6148.9

- Right. - And it either turns out

Time: 6150.98

to be true or not true, but if you don't know

Time: 6155.93

that a particular cell type is there,

Time: 6157.61

you could never in any configuration of life or a career

Time: 6163.96

or exploration of a nervous system wager a hypothesis

Time: 6167.79

because you didn't know it was there.

Time: 6169.34

So this allows you to say ah,

Time: 6170.46

there's a little interesting little connection

Time: 6172.95

between this cell that I know is interesting

Time: 6175.03

in another cell that's a little mysterious but interesting,

Time: 6177.64

I'm going to hypothesize that it's doing blank,

Time: 6180.08

blank and blank and go test that.

Time: 6181.31

And in the absence of these connectomes,

Time: 6183.45

you would never know that that cell was lurking there

Time: 6185.15

in the shadows.

Time: 6186.623

- Right, right, yeah.

Time: 6188.3

And if you're just trying to understand

Time: 6189.65

how information flows through this biological machine,

Time: 6193.884

you want to know where things are.

Time: 6196.37

Neurotransmitters are dumped out of the terminals

Time: 6198.64

of one cell and they diffuse across the space

Time: 6201.89

between the two cells which is kind of a liquidy space

Time: 6204.285

and they hit some receptors on the postsynaptic cell

Time: 6206.71

and they have some impact.

Time: 6208.92

Sometimes that's not through a regular synapse,

Time: 6211.41

sometimes it's through a neuromodulator

Time: 6213.1

like you often talk about on your podcast

Time: 6215.84

that are sort of.

Time: 6216.673

- Dopamine. - Dopamine, exactly.

Time: 6218.22

Oozing into the space between the cells

Time: 6220.53

and it may be acting at some distance

Time: 6222.7

far from where it was released, right?

Time: 6225.03

But if you don't know where the release is happening

Time: 6227.2

and where other things

Time: 6228.14

are that might respond to that release

Time: 6229.87

you're groping around in the dark.

Time: 6232.162

- Well, I love that you are doing this

Time: 6234.11

and I have to share with the listeners that,

Time: 6238.42

the first time I ever met David

Time: 6240.113

and every time I've ever met with him in-person

Time: 6243.23

at least at his laboratory at Brown,

Time: 6246.24

he was in his office, door closed,

Time: 6248.75

drawing neurons and their connections.

Time: 6250.937

[laughs]

Time: 6251.77

And this is somewhat unusual

Time: 6253.16

for somebody who's a endowed full professor or chairman

Time: 6256.93

of the department et cetera for many years

Time: 6259.24

to be doing the hands-on work.

Time: 6260.91

Typically, that's the stuff that's done by technicians

Time: 6262.77

or graduate students or postdocs.

Time: 6264.18

But I think it's fair to say

Time: 6266.09

that you really love looking at nervous systems

Time: 6269.76

and drawing the accurate renditions

Time: 6273.18

of how those nervous systems are organized

Time: 6275.59

and thinking about how they work.

Time: 6277.33

- Yeah, it's pure joy for me.

Time: 6278.81

I mean, I'm a very visual person, my wife is an artist,

Time: 6281.225

we look a lot of art together

Time: 6283.55

just the forms of things are gorgeous in their own right.

Time: 6287.58

But to know that the form is in a sense the function

Time: 6291.29

that the architecture of the connectivity

Time: 6295.56

is how the computation happens in the brain at some level

Time: 6299.47

even though we don't fully understand that in most contexts,

Time: 6302.85

gives me great joy 'cause I'm working on something

Time: 6304.978

that's both visually beautiful but also deeply beautiful

Time: 6309.499

in a sort of a higher sort of knowledge context,

Time: 6315.389

what is it all about.

Time: 6316.75

- I love it, well, as a final question,

Time: 6320.04

I get asked very often about how people

Time: 6322.52

should learn about neuroscience,

Time: 6325.36

or how they should go about pursuing maybe an education

Time: 6328.16

in neuroscience if they're at that stage of their life

Time: 6330.33

or that's appropriate for their current trajectory.

Time: 6334.07

Do you have any advice to young people, old people,

Time: 6336.936

anything in between about how to learn

Time: 6339.73

about the nervous system more maybe in a more formal way?

Time: 6342.52

I mean obviously, we have our podcast,

Time: 6343.89

there are other sources of neuroscience information

Time: 6346.81

out there, but for the young person

Time: 6348.61

who thinks they want to understand the brain,

Time: 6351.61

they want to learn about the brain, what should we tell them?

Time: 6355.12

- Well, that's a great question.

Time: 6356.37

And there's so many sources out there.

Time: 6357.88

It's almost a question

Time: 6358.95

of how do you deal with this avalanche of information

Time: 6361.723

out there, I think your podcast is a great way for people

Time: 6364.635

to learn more about the nervous system in an accessible way.

Time: 6368.25

But there's so much stuff out there

Time: 6369.76

and it's not just that.

Time: 6370.593

I mean, the resources are becoming more and more available

Time: 6373.87

for average folks to participate in neuroscience research

Time: 6378.58

on some level.

Time: 6379.413

There's this famous Eyewire project of Sebastian.

Time: 6381.108

- Oh yeah, maybe you let us about Eyewire.

Time: 6383.26

- Yeah, so that's connectomics and that's a situation

Time: 6386.243

where a very clever scientist realized

Time: 6389.21

that the physical work of doing all this reconstruction

Time: 6393.82

of neurons from these electron micro-graphs,

Time: 6397.23

there's a lot of time involved.

Time: 6399.92

Many, many person hours have to go into that

Time: 6402.4

to come up with the map that you want

Time: 6404.76

of where the cells are, and he was very clever

Time: 6407.33

about setting up a context

Time: 6409.24

in which he could crowdsource this

Time: 6411.36

and people who were interested

Time: 6412.193

in getting a little experience looking at nervous tissue

Time: 6414.76

and participating in a research project

Time: 6417.077

could learn how to do this and do a little bit.

Time: 6419.413

- From their living room. - From their living room.

Time: 6421.86

- We'll put a link to Eyewire, it also is a great bridge

Time: 6424.61

between what we were just talking about connectomics

Time: 6426.42

and actually participating in research.

Time: 6428.5

- Right.

Time: 6429.333

- And you don't need a graduate mentor

Time: 6430.65

or anything like that. - Right.

Time: 6432.79

So more of this is coming

Time: 6433.867

and I'm actually interested in building more of this

Time: 6438.24

so that people who are interested,

Time: 6440.16

want to participate at some level

Time: 6441.57

don't necessarily have the time or resources

Time: 6444.52

to get involved in laboratory research

Time: 6446.799

can get exposed to it and participate

Time: 6449.9

and actually contribute, so I think that's one thing.

Time: 6454.335

I mean, just asking questions of the people around you

Time: 6457.897

who know a little bit more

Time: 6459.4

and have them point you in the right direction.

Time: 6461.22

Here's a book you might like to read,

Time: 6462.62

there's lots of great popular books out there

Time: 6465.84

that are accessible that will give you some more sense

Time: 6468.75

of the full range of what's out there in the neurosciences.

Time: 6471.99

- We can put some links to a few of those that we like.

Time: 6474.39

- Right. - On basic neuroscience.

Time: 6476.12

- Right. - Our good friend

Time: 6476.953

Dick Masland, the late Richard,

Time: 6479.57

people call him Dick Masland had a good book.

Time: 6483.77

I forget the title at the moment.

Time: 6485.118

It's sitting behind me somewhere over there on the shelf

Time: 6488.681

about vision and how nervous systems work.

Time: 6490.44

A pretty accessible book for the general public.

Time: 6492.57

- Right - Yeah.

Time: 6493.403

- Right, so that, and there's so many sources out there.

Time: 6496.58

I mean, Wikipedia is a great way.

Time: 6498.11

If you have a particular question about visual function,

Time: 6500.13

I would say by all means, head to Wikipedians

Time: 6502.431

and get the first look

Time: 6505.55

and follow the the references from there,

Time: 6507.56

or go to your library, or there's so many ways

Time: 6511.33

to get into it, it's such an exciting field now.

Time: 6513.95

There's so many,

Time: 6514.783

I mean, any particular realm that's special to you,

Time: 6517.49

your experience, your strengths, your passions,

Time: 6522.03

there's a field of neuroscience devoted to that.

Time: 6525.45

If you know somebody who's got a neurological problem

Time: 6527.88

or a psychiatric problem, there's a branch of neuroscience

Time: 6531.87

that is devoted to trying to understand that

Time: 6534.64

and to solve these kinds of problems down the line.

Time: 6538.46

So feel the buzz, it's an exciting time to get involved.

Time: 6543.38

- Great, those are great resources that people can access

Time: 6545.67

from anywhere zero-cost as you need an internet connection.

Time: 6548.78

But aside from that, we'll put the links to some.

Time: 6551.047

And I'm remembering, Dick's book is called,

Time: 6553.817

"We Know It When We See It."

Time: 6555.28

- Right, one of my heroes.

Time: 6556.97

- Yeah, a wonderful colleague

Time: 6558.5

who unfortunately we lost a few years ago.

Time: 6560.1

But listen David, this has been wonderful.

Time: 6564.17

- It's been a blast.

Time: 6565.003

- We really appreciate you taking the time to do this

Time: 6566.82

as people probably realize by now

Time: 6569.31

you're an incredible wealth of knowledge

Time: 6571.04

about the entire nervous system,

Time: 6572.97

today we just hit this top contour

Time: 6575.24

of a number of different areas

Time: 6576.37

to give a flavor of the different ways

Time: 6578.34

that the nervous system works and is organized

Time: 6581.03

and how that's put together,

Time: 6583.35

how these areas are talking to one another.

Time: 6585.23

What I love about you

Time: 6586.063

is that you're such an incredible educator

Time: 6587.889

and I've taught so many students over the years.

Time: 6590.46

But also for me personally as friends,

Time: 6594.21

but also any time that I want to touch into the the beauty

Time: 6597.85

of the nervous system, I rarely lose touch with it.

Time: 6600.75

But anytime I want to touch into it

Time: 6602.14

and start thinking about new problems

Time: 6603.92

and ways that the nervous system is doing things

Time: 6606.49

that I hadn't thought about, I call you.

Time: 6608.36

So please forgive me for the calls past, present and future

Time: 6612.77

unless you change your number.

Time: 6613.603

And even if you do, I'll be calling.

Time: 6616.19

- It's been such a blast Andy.

Time: 6618.213

This has been a great session

Time: 6621.03

and it's always fun talking to you.

Time: 6622.66

It always gets my brain racing, so thank you.

Time: 6627.91

- Thank you, thank you for joining me today

Time: 6629.92

for my discussion with Dr. David Berson.

Time: 6632.33

By now, you should have a much clearer understanding

Time: 6635.22

of how the brain is organized and how it works

Time: 6638.24

to do all the incredible things that it does.

Time: 6640.8

If you're enjoying and/or learning from this podcast,

Time: 6643.24

please subscribe to our YouTube channel.

Time: 6645.07

That's a terrific zero-cost way to support us.

Time: 6647.85

In addition, please subscribe to our podcast

Time: 6650.32

on Apple and Spotify.

Time: 6652.04

And on Apple, you have the opportunity

Time: 6653.68

to leave us up to a five-star review.

Time: 6656.19

As well if you'd like to make suggestions

Time: 6658.08

for future podcast episode topics,

Time: 6660.5

or future podcast episode guests,

Time: 6662.94

please put those in the comments section

Time: 6665.01

on our YouTube channel.

Time: 6666.7

Please also check out our sponsors

Time: 6668.06

mentioned at the beginning of each podcast.

Time: 6669.95

That's the best way to support us.

Time: 6671.82

And we have a Patreon, it's patreon.com/andrewhuberman.

Time: 6675.89

There you can support us at any level that you like.

Time: 6678.24

While today's discussion did not focus on supplements,

Time: 6681.6

many previous podcast episodes

Time: 6683.24

include discussions about supplements.

Time: 6685.22

And while supplements aren't necessary for everybody,

Time: 6688.24

many people derive benefit from them for things like sleep

Time: 6691.1

or focus or anxiety relief and so on.

Time: 6693.93

One issue with the supplement industry however,

Time: 6696.15

is that oftentimes the quality

Time: 6698.06

will really vary across brands.

Time: 6700.59

That's why we partnered with Thorne, T-H-O-R-N-E,

Time: 6703.08

because Thorne supplements

Time: 6704.56

are of the absolute highest standards

Time: 6706.27

in terms of the quality of the ingredients that include

Time: 6708.54

and the precision of the amounts of the ingredients

Time: 6710.64

they include, in other words,

Time: 6711.99

what's listed on the bottle,

Time: 6713.13

is what's actually found in the bottle,

Time: 6714.9

which is not true of many supplements out there

Time: 6717.08

that have been tested.

Time: 6718.28

If you'd like to see the supplements that I take,

Time: 6720.12

you can go to thorne.com/u/huberman,

Time: 6724.99

and there you can see the supplements that I take

Time: 6727

and you can get 20% off any of those supplements.

Time: 6729.61

And if you navigate deeper into the Thorne site

Time: 6731.71

through that portal thorne.com/u/huberman,

Time: 6735.68

you can also get 20% off any of the other supplements

Time: 6738.61

that Thorne happens to make.

Time: 6740.08

If you're not already following Huberman Lab

Time: 6741.83

on Instagram and Twitter, feel free to do so.

Time: 6744.77

Both places I regularly post short video posts,

Time: 6747.9

or text posts that give tools related to health

Time: 6751.23

and neuroscience and so forth.

Time: 6752.85

And most of the time,

Time: 6754.21

that information is non-overlapping with the information

Time: 6756.46

on the podcast.

Time: 6757.293

Again, it's just Huberman Lab on Instagram and Twitter.

Time: 6759.72

And last but not least,

Time: 6761.29

thank you for your interest in science.

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